At OQC, we're building the quantum computers that will power the next generation of scientific discovery and commercial innovation. Our mission is to put quantum in the hands of humanity and we're looking for exceptional scientists and engineers to help us do it. We are seeking a Materials Scientist, with a strong focus on thin film characterisation, to join our Materials Science & Device Engineering (MSDE) team. This is a hands on, high impact role focused on advancing our understanding of materials, interfaces and nanofabrication processes that underpin high coherence superconducting quantum devices. You will apply advanced characterisation and data analysis techniques to guide improvements in fabrication precision, material performance and device reliability. The Role The Materials Scientist plays a critical role in advancing the materials and processes that underpin OQC's quantum devices. Partnering closely with senior engineers, you will design and lead in depth characterisation studies, extract insight from complex datasets, and turn experimental results into clear, evidence based recommendations that directly improve qubit coherence, fabrication precision and device performance. Working focused on materials R&D, you will combine hands on experimental expertise with strategic technical judgement, collaborating internally and engaging external characterisation facilities when advanced capabilities are required. You will be highly skilled in thin film characterisation with strong focus on X ray thin film characterisation techniques, these skills are key to this role. Investigate: Apply advanced thin film characterisation techniques with a focus on extracting quantitative information on thickness, density, roughness, crystallinity, strain and nanostructure to analyse superconducting device films and interfaces. Extract: Use fitting routines and specialised modelling software such as reflectivity fitting and scattering pattern analysis to extract quantitative data from thin film X ray patterns. Develop and refine custom scan protocols (e.g., grazing incidence, rocking curves, pole figures) to suit complex multilayer stacks. Improve: Interpret complex data sets from thin films and multilayer structures to recommend improvements of nanofabrication processes and enhance qubit coherence. Document: Create and maintain clear process documentation, experimental plans and progress reports for senior stakeholders. Collaborate: Partner with nanofabrication engineers and other material scientists to provide subject matter expertise and data backed guidance on device performance. What We're Looking For We value strong scientific fundamentals, intellectual curiosity, and a rigorous, evidence driven approach to problem solving. Strong hands on experience with advanced thin film X ray characterization techniques such as XRR, and different modes of XRD. Expertise in HRXRD and reciprocal space mapping (RSM) for strain and texture analysis Experience with grazing incidence methods (GIXRD, GISAXS or GIWAXS). Proficiency in modelling and fitting X ray data (e.g. Bruker LEPTOS, GenX, GSAS II, TOPAS, or similar tools). Solid understanding of X ray and e beam scattering and diffraction theory. Experience in diffraction data analysis, including phase identification using crystallographic databases (ICSD, PDF 4 or COD), and interpretation of thin film diffraction data (texture, strain, epitaxy). Experience operating laboratory X ray diffractometers (e.g. Bruker, Rigaku) Programming skills like Python for data analysis and automation. Clear written and verbal communication skills, with the ability to produce high quality technical documentation PhD (or MSc with significant experience) in Physics, Materials Science, or a related discipline. The "Nice to haves": Experience with complementary techniques like SEM, AFM, TEM, EDX or alike Knowledge of thin film growth models and method Experience with synchrotron based X ray techniques. Familiarity with Rietveld refinement for polycrystalline materials Experience applying machine learning techniques to materials data The ideal candidate will combine strong experimental skills with a deep understanding of diffraction and scattering physics, and the ability to extract meaningful physical parameters from thin film systems. Why Join OQC? At OQC, you'll work shoulder to shoulder with world class scientists, engineers and technologists who are redefining what's computationally possible. This is a rare opportunity to apply your materials science expertise to genuinely cutting edge quantum hardware - translating fundamental insight into measurable improvements in device performance and scalability. If you're motivated by deep scientific challenges, collaborative excellence, and the opportunity to directly impact the future of quantum computing, OQC offers a place where your work will truly matter. Learn more about our benefits and work culture here:
Apr 05, 2026
Full time
At OQC, we're building the quantum computers that will power the next generation of scientific discovery and commercial innovation. Our mission is to put quantum in the hands of humanity and we're looking for exceptional scientists and engineers to help us do it. We are seeking a Materials Scientist, with a strong focus on thin film characterisation, to join our Materials Science & Device Engineering (MSDE) team. This is a hands on, high impact role focused on advancing our understanding of materials, interfaces and nanofabrication processes that underpin high coherence superconducting quantum devices. You will apply advanced characterisation and data analysis techniques to guide improvements in fabrication precision, material performance and device reliability. The Role The Materials Scientist plays a critical role in advancing the materials and processes that underpin OQC's quantum devices. Partnering closely with senior engineers, you will design and lead in depth characterisation studies, extract insight from complex datasets, and turn experimental results into clear, evidence based recommendations that directly improve qubit coherence, fabrication precision and device performance. Working focused on materials R&D, you will combine hands on experimental expertise with strategic technical judgement, collaborating internally and engaging external characterisation facilities when advanced capabilities are required. You will be highly skilled in thin film characterisation with strong focus on X ray thin film characterisation techniques, these skills are key to this role. Investigate: Apply advanced thin film characterisation techniques with a focus on extracting quantitative information on thickness, density, roughness, crystallinity, strain and nanostructure to analyse superconducting device films and interfaces. Extract: Use fitting routines and specialised modelling software such as reflectivity fitting and scattering pattern analysis to extract quantitative data from thin film X ray patterns. Develop and refine custom scan protocols (e.g., grazing incidence, rocking curves, pole figures) to suit complex multilayer stacks. Improve: Interpret complex data sets from thin films and multilayer structures to recommend improvements of nanofabrication processes and enhance qubit coherence. Document: Create and maintain clear process documentation, experimental plans and progress reports for senior stakeholders. Collaborate: Partner with nanofabrication engineers and other material scientists to provide subject matter expertise and data backed guidance on device performance. What We're Looking For We value strong scientific fundamentals, intellectual curiosity, and a rigorous, evidence driven approach to problem solving. Strong hands on experience with advanced thin film X ray characterization techniques such as XRR, and different modes of XRD. Expertise in HRXRD and reciprocal space mapping (RSM) for strain and texture analysis Experience with grazing incidence methods (GIXRD, GISAXS or GIWAXS). Proficiency in modelling and fitting X ray data (e.g. Bruker LEPTOS, GenX, GSAS II, TOPAS, or similar tools). Solid understanding of X ray and e beam scattering and diffraction theory. Experience in diffraction data analysis, including phase identification using crystallographic databases (ICSD, PDF 4 or COD), and interpretation of thin film diffraction data (texture, strain, epitaxy). Experience operating laboratory X ray diffractometers (e.g. Bruker, Rigaku) Programming skills like Python for data analysis and automation. Clear written and verbal communication skills, with the ability to produce high quality technical documentation PhD (or MSc with significant experience) in Physics, Materials Science, or a related discipline. The "Nice to haves": Experience with complementary techniques like SEM, AFM, TEM, EDX or alike Knowledge of thin film growth models and method Experience with synchrotron based X ray techniques. Familiarity with Rietveld refinement for polycrystalline materials Experience applying machine learning techniques to materials data The ideal candidate will combine strong experimental skills with a deep understanding of diffraction and scattering physics, and the ability to extract meaningful physical parameters from thin film systems. Why Join OQC? At OQC, you'll work shoulder to shoulder with world class scientists, engineers and technologists who are redefining what's computationally possible. This is a rare opportunity to apply your materials science expertise to genuinely cutting edge quantum hardware - translating fundamental insight into measurable improvements in device performance and scalability. If you're motivated by deep scientific challenges, collaborative excellence, and the opportunity to directly impact the future of quantum computing, OQC offers a place where your work will truly matter. Learn more about our benefits and work culture here:
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! From reviews to user behaviours, to internal systems - at Trustpilot we truly have big data. Within our B2B Applied AI team, we're focused on leveraging AI and ML to transform data into value and create engaging products features to improve the experience of our users. That means you can empower product innovation to help our businesses build Trust, Growth and Improve with Trustpilot. We are seeking a Senior Data Scientist to join our Applied AI team to develop intelligent, data-driven product features, and foundational models that serve our products. You will collaborate closely with a cross-functional team of software developers, product managers, designers, data analytics and ML engineers to develop, deploy and maintain innovative AI/ML models at scale. You will have the opportunity to collaborate widely across the business including our Commercial, Digital Sales, and Data Science teams within B2C, Trust and GTM contexts. What you'll be doing: You will be involved in delivering some of our most exciting Data Science projects aimed at improving our B2B SaaS product and Consumer website: from prediction to ranking, natural language processing to search, and recommendation systems to content generation and personalisation Great opportunity to make a real product impact by applying the state of the art in AI and ML. You will deliver the Data Science component of key strategic initiatives including owning, maintaining and deploying production-ready ML/AI models, and analysing data to establish the scope and impact of your work You will identify new product opportunities based on data, interpreting model outcomes and sharing insights to drive the direction of our Data Science work You will engage with both technical and non-technical stakeholders & will translate product requirements into Data Science deliverables The opportunity to work with leading AI/ML model development and deployment tooling including GCP Vertex AI, GCP BigQuery, Airflow. Opportunities to work in a friendly, diverse, innovative, international team and workplace Who you are: Prior knowledge of NLP and Generative AI is a must. Proven experience in developing and deploying AI/ML models. You'll have a solid technical background, with hands-on ability in all stages of data preparation, exploration, modeling and deployment You have an adaptable product mindset and knowledge of the interface between data science and engineering The ability to engage stakeholders, clearly articulating the impact and reasons behind your work, in both a business and technical capacity Experience with analytical and quantitative problem solving using advanced statistical techniques, machine learning and generative AI methods, e.g. sentiment and topic modeling, recommendation systems, content generation, forecasting & trend analysis Experience in building and deploying production-ready ML models at scale, and solid data engineering skills (e.g. experience with GCP) Proven ability to deliver technical projects to a commercial organisation. Experience in building and deploying ML models at scale (ideally to support online services), and strong data engineering skills Ability in Python and SQL for data manipulation, modeling and scripting. Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Experience in use of behavioral data to develop data-driven product features is a big plus Proven technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD is preferred What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist Pension and life insurance Health cash plan, online GP, 24/7 Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Still not sure? We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. We're keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don't worry if you're looking at this job description and feel like you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team () quoting the role you wish to apply for.
Apr 05, 2026
Full time
At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest independent consumer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! From reviews to user behaviours, to internal systems - at Trustpilot we truly have big data. Within our B2B Applied AI team, we're focused on leveraging AI and ML to transform data into value and create engaging products features to improve the experience of our users. That means you can empower product innovation to help our businesses build Trust, Growth and Improve with Trustpilot. We are seeking a Senior Data Scientist to join our Applied AI team to develop intelligent, data-driven product features, and foundational models that serve our products. You will collaborate closely with a cross-functional team of software developers, product managers, designers, data analytics and ML engineers to develop, deploy and maintain innovative AI/ML models at scale. You will have the opportunity to collaborate widely across the business including our Commercial, Digital Sales, and Data Science teams within B2C, Trust and GTM contexts. What you'll be doing: You will be involved in delivering some of our most exciting Data Science projects aimed at improving our B2B SaaS product and Consumer website: from prediction to ranking, natural language processing to search, and recommendation systems to content generation and personalisation Great opportunity to make a real product impact by applying the state of the art in AI and ML. You will deliver the Data Science component of key strategic initiatives including owning, maintaining and deploying production-ready ML/AI models, and analysing data to establish the scope and impact of your work You will identify new product opportunities based on data, interpreting model outcomes and sharing insights to drive the direction of our Data Science work You will engage with both technical and non-technical stakeholders & will translate product requirements into Data Science deliverables The opportunity to work with leading AI/ML model development and deployment tooling including GCP Vertex AI, GCP BigQuery, Airflow. Opportunities to work in a friendly, diverse, innovative, international team and workplace Who you are: Prior knowledge of NLP and Generative AI is a must. Proven experience in developing and deploying AI/ML models. You'll have a solid technical background, with hands-on ability in all stages of data preparation, exploration, modeling and deployment You have an adaptable product mindset and knowledge of the interface between data science and engineering The ability to engage stakeholders, clearly articulating the impact and reasons behind your work, in both a business and technical capacity Experience with analytical and quantitative problem solving using advanced statistical techniques, machine learning and generative AI methods, e.g. sentiment and topic modeling, recommendation systems, content generation, forecasting & trend analysis Experience in building and deploying production-ready ML models at scale, and solid data engineering skills (e.g. experience with GCP) Proven ability to deliver technical projects to a commercial organisation. Experience in building and deploying ML models at scale (ideally to support online services), and strong data engineering skills Ability in Python and SQL for data manipulation, modeling and scripting. Experience in working with large datasets, ideally from tech platforms, e-commerce, or SaaS-type businesses. Experience in use of behavioral data to develop data-driven product features is a big plus Proven technical experience in a Data Science role, preferably in the technology sector or in a technical consultancy A minimum BA/BSc degree in Statistics, Mathematics, Physics, Computer Science or related quantitative degree. Masters/PhD is preferred What's in it for you? A range of flexible working options to dedicate time to what matters to you Competitive compensation package + bonus 25 days holiday per year, increasing to 28 days after 2 years of employment Two (paid) volunteering days a year to spend your time giving back to the causes that matter to you and your community Rich learning and development opportunities are supported through the Trustpilot Academy and Blinkist Pension and life insurance Health cash plan, online GP, 24/7 Employee Assistance Plan Full access to Headspace, a popular mindfulness app to promote positive mental health Paid parental leave Season ticket loan and a cycle-to-work scheme Central office location complete with all the snacks and refreshments you can ask for Regular opportunities to connect and get to know your fellow Trusties, including company-wide celebrations and events, ERG activities, and team socials Access to over 4,000 deals and discounts on things like travel, electronics, fashion, fitness, cinema discounts, and more. Still not sure? We are Open to All, which means we want everyone to feel like they can see themselves at Trustpilot. We're keen to hear about your experiences as well as how you can help to create a fantastic culture for our amazing Trusties. So, don't worry if you're looking at this job description and feel like you don't meet all the requirements, we'd still really like to hear from you! About us Trustpilot began in 2007 with a simple yet powerful idea that is more relevant today than ever - to be the universal symbol of trust, bringing consumers and businesses together through reviews. Trustpilot is open, independent, and impartial - we help consumers make the right choices and businesses to build trust, grow and improve. Today, we have more than 300 million reviews and 64 million monthly active users on average across the globe, with 140 billion annual Trustbox impressions, and the numbers keep growing. We have more than 1,000 employees and we're headquartered in Copenhagen, with operations in Amsterdam, Denver, Edinburgh, Hamburg, London, Melbourne, Milan and New York. We're driven by connection. It's at the heart of what we do. Our culture keeps things fresh it's built on the relationships we create. We talk, we laugh, we collaborate and we respect each other. We work across borders and cultures to be the universal symbol of trust in an ever-changing world. With vibrant office locations worldwide and over 50 nationalities, we're proud to be an equal opportunity workplace with diverse perspectives and ideas. Our purpose to help people and businesses help each other is a tall order, but we keep it real. We're a great bunch of humans, doing awesome stuff, without fuss or pretense. A successful Trustpilot future is driven by you we give you the autonomy to shape a career you can be proud of. If you're ready to grow, let's go. Join us at the heart of trust. Trustpilot is committed to creating an inclusive environment where people from all backgrounds can thrive and where different viewpoints and experiences are valued and respected. Trustpilot will consider all applications for employment without regard to race, ethnicity, national origin, religious beliefs, gender identity or expression, sexual orientation, neurodiversity, disability, age, parental or veteran status. Together, we are the heart of trust. Trustpilot is a global company and our data practices are designed to ensure that your personally identifiable information is appropriately protected. Please note that your personal information will be transferred, accessed, and stored globally as necessary for the uses and disclosures stated in our Privacy Policy. If you have a disability and would like to discuss any adjustments you might need either in submitting your application, or to the recruitment process more generally, please let us know by contacting our Talent Acquisition Team () quoting the role you wish to apply for.
About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. Key Responsibilities Develop and train large scale generative models, pushing the boundaries of AI capabilities. Design and run experiments to explore and refine model architectures, analyze results, and implement data driven improvements. Continuously innovate by developing and deploying new features that enhance user experiences. Requirements Proven experience in training large scale generative models (e.g., image generation, audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state of the art neural network architectures. Hands on experience building end to end machine learning pipelines, including data collection and pre processing, model training and evaluation, inference serving. Strong software engineering skills, ability to design, implement and maintain high quality code. What We Offer Competitive salary and equity. Opportunities for professional growth and leadership. A collaborative, research driven environment. The chance to work on cutting edge AI projects that redefine creative workflows. The opportunity to contribute to open source AI research and publications.
Apr 05, 2026
Full time
About Us Founded in the US in 2022 and now based in London, UK, Recraft is an AI tool for professional designers, illustrators, and marketers, setting a new standard for excellence in image generation. We designed a tool that lets creators quickly generate and iterate original images, vector art, illustrations, icons, and 3D graphics with AI. Over 3 million users across 200 countries have produced hundreds of millions of images using Recraft, and we're just getting started. Join a universe of professional opportunities, develop and support large-scale projects, and shape the future of creativity. We are committed to making Recraft an essential, daily tool for every designer and setting the industry standard. Our mission is to ensure that creators can fully control their creative process with AI, providing them with innovative tools to turn ideas into reality. If you're passionate about pushing the boundaries of AI, we want you on board! Job Description We are looking for experienced Research Engineers to develop and optimise AI models, conduct cutting edge research, and push the boundaries of AI and machine learning. Whether your expertise lies in AI model development, applied research, or production level deployment, this role offers the opportunity to work at the forefront of generative AI innovation. Key Responsibilities Develop and train large scale generative models, pushing the boundaries of AI capabilities. Design and run experiments to explore and refine model architectures, analyze results, and implement data driven improvements. Continuously innovate by developing and deploying new features that enhance user experiences. Requirements Proven experience in training large scale generative models (e.g., image generation, audio synthesis, or large language models). Expertise in evaluating generative models, with a deep understanding of qualitative and quantitative metrics. Strong proficiency in PyTorch and familiarity with state of the art neural network architectures. Hands on experience building end to end machine learning pipelines, including data collection and pre processing, model training and evaluation, inference serving. Strong software engineering skills, ability to design, implement and maintain high quality code. What We Offer Competitive salary and equity. Opportunities for professional growth and leadership. A collaborative, research driven environment. The chance to work on cutting edge AI projects that redefine creative workflows. The opportunity to contribute to open source AI research and publications.
Head of Architecture (Data Platform and Account and Identity) Job Details Job Band: F Contract Type: Permanent, Full-Time Department: Product Engineering Location: Flexible (any major UK BBC hub) with hybrid working Proposed Salary Range: up to £150,000 depending on relevant skills, knowledge and experience. The expected salary range reflects internal benchmarking and external market insights. We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. Purpose of the Role The BBC's Product Engineering function is looking to appoint two Heads of Architecture to join BBC Product Group's architecture leadership team. The architecture team's mission is to drive the technical designs and approaches that allow the BBC's audience facing digital products to rapidly grow and innovate in an efficient and scalable way. The role advertised here is the Head of Architecture focused on Data Platform and Account and Identity. A second vacancy for a Head of Architecture focused on Enablement is also being advertised. Please apply individually for the role(s) which interest you. Why Join the Team This is a chance to work at scale, to tackle complex architectural challenges, and to influence the journey from traditional broadcasting to a fully connected, on demand future. You'll join a supportive community of architects - working across disciplines to bring clarity, coherence, and innovation to everything we do. Your Key Responsibilities and Impact As Head of Architecture, you will define and support the delivery of the technical architecture in your area of responsibility. This includes both line management and setting overall strategy in a way that enables all engineering teams to work at scale and high efficiency. This is a highly collaborative role. You will work closely with a wide range of engineering, product, and business leaders, and with multi disciplinary teams across the organisation. You will use your communication and influencing skills to explain how your technical strategy contributes to wider business objectives, backed up by a coherent approach for delivering the strategy. In this role you will be one of the most senior technologists at the BBC. You will play a critical role in the organisation's digital transformation. Your key day to day responsibilities will include: Being part of the Product Group Engineering Leadership team, helping to drive the overall technology strategy with your peers. Being part of one or multiple cross discipline leadership teams, collaborating with Engineering, Product, Delivery, Data, UX, and other disciplines to develop successful products that grow the BBC's online reach. Line managing, coaching and developing a team of talented architects, as well as supporting a wide range of engineering and product teams. Owning the technology landscape within your area, identifying gaps and opportunities for improvement, and taking accountability for ensuring solutions are performant and sustainable. Playing a critical role in defining how to enable our platform strategy and engineering efficiency through capabilities that apply at all levels of our technical stack. Area of Responsibility In this role you will join three other Heads of Architecture to collectively own the architecture strategy and technical direction of the BBC's online products. Together this architecture leadership - which is part of the engineering leadership - must ensure architectural alignment across all teams. Within this role, your focus will be on the BBC's Data Platform and Account & Identity capabilities, which underpin both digital and broadcast experiences at national and global scale. These platforms enable audience insight, personalisation, operational decision making and regulatory compliance, forming a critical part of the BBC's future technology landscape. As Head of Architecture for Data Platform & Account & Identity, your responsibilities will include: Creating and evolving platform capabilities that support billions of audience events per day, enabling high availability, secure and scalable systems with near zero tolerance for failure. This includes data ingestion, processing, and analytics platforms, alongside identity and authentication services used by millions of users globally. Leading the transition from vertically aligned systems to domain oriented, platform based architectures. This includes embedding data product thinking, clear ownership models, discoverability and governance, and supporting the maturity of operating models across platform and product teams. Defining and governing architectural standards across data, AI/ML and identity ecosystems. This includes ensuring coherence across real time and batch processing, machine learning enablement platforms, and customer identity services, while maintaining regulatory compliance, managing risk, and ensuring long term technical sustainability. Establishing architectural approaches that enable responsible AI and ML at scale, balancing innovation and experimentation with appropriate governance and safety. Providing architectural leadership for major technology decisions, including platform strategy, vendor selection and investment prioritisation, with clear accountability for enterprise level outcomes and trade offs. Leading, coaching and developing a senior architecture team, and contributing to the wider engineering and product leadership community to strengthen architectural practices, culture and capability across the organisation. As with similar leadership roles, your areas of focus are likely to evolve over time to support new programmes of work and organisational priorities. Your Skills and Experience The ideal candidate will evidence the following skills and experience: Significant experience as a technical architect (or similar role), including defining and delivering a technical vision and strategy, and designing scalable, reliable, and maintainable architectures. Proven digital leader, with gravitas to work effectively with senior colleagues as well as being able to inspire, motivate and drive change through a large engineering team. Ability to present to and influence C Level colleagues, creating great interpersonal relationships across the organisation. A team player who can coach, develop and mentor others in our engineering community, and provide leadership amongst your peers. Significant experience leading in a software development environment, including agile delivery at scale, and with an informed view of architectural and engineering best practice. Knowledge of a broad range of technology concepts such as cloud computing (e.g. AWS), micro service architectures, event driven architectures and data processing at scale. Approaches to standardisation and governance, such as to manage efficiency, security and legal compliance, in a way that balances standardisation with autonomy at scale. Strong organisational skills that enable you to work across multiple specialist teams to align architecture goals and drive change and adoption. Continued professional development both as a leader and technologist, including a deep understanding of industry trends (e.g. AI). You will be expected to proactively identify and leverage these trends to drive innovation. This includes staying ahead of emerging technologies, assessing their potential impact, and integrating relevant advancements into our architecture strategy to ensure we remain at the forefront of digital transformation. Being a leader at the BBC means putting the organisation's interest, goals and values first, ahead of individual team or function needs. The characteristics of an enterprise leader are: Focuses on outcomes over activity, adapts quickly, and simplifies complexity. They balance short term actions with long term impact, take full accountability for actions and decision making, and prioritise capability development to create teams fit for the future. If you can bring some of these skills and experiences, along with transferable strengths, we'd love to hear from you and encourage you to apply. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. For any general queries, please contact: Redeployment The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of the other applicants . click apply for full job details
Apr 05, 2026
Full time
Head of Architecture (Data Platform and Account and Identity) Job Details Job Band: F Contract Type: Permanent, Full-Time Department: Product Engineering Location: Flexible (any major UK BBC hub) with hybrid working Proposed Salary Range: up to £150,000 depending on relevant skills, knowledge and experience. The expected salary range reflects internal benchmarking and external market insights. We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application - though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage. Purpose of the Role The BBC's Product Engineering function is looking to appoint two Heads of Architecture to join BBC Product Group's architecture leadership team. The architecture team's mission is to drive the technical designs and approaches that allow the BBC's audience facing digital products to rapidly grow and innovate in an efficient and scalable way. The role advertised here is the Head of Architecture focused on Data Platform and Account and Identity. A second vacancy for a Head of Architecture focused on Enablement is also being advertised. Please apply individually for the role(s) which interest you. Why Join the Team This is a chance to work at scale, to tackle complex architectural challenges, and to influence the journey from traditional broadcasting to a fully connected, on demand future. You'll join a supportive community of architects - working across disciplines to bring clarity, coherence, and innovation to everything we do. Your Key Responsibilities and Impact As Head of Architecture, you will define and support the delivery of the technical architecture in your area of responsibility. This includes both line management and setting overall strategy in a way that enables all engineering teams to work at scale and high efficiency. This is a highly collaborative role. You will work closely with a wide range of engineering, product, and business leaders, and with multi disciplinary teams across the organisation. You will use your communication and influencing skills to explain how your technical strategy contributes to wider business objectives, backed up by a coherent approach for delivering the strategy. In this role you will be one of the most senior technologists at the BBC. You will play a critical role in the organisation's digital transformation. Your key day to day responsibilities will include: Being part of the Product Group Engineering Leadership team, helping to drive the overall technology strategy with your peers. Being part of one or multiple cross discipline leadership teams, collaborating with Engineering, Product, Delivery, Data, UX, and other disciplines to develop successful products that grow the BBC's online reach. Line managing, coaching and developing a team of talented architects, as well as supporting a wide range of engineering and product teams. Owning the technology landscape within your area, identifying gaps and opportunities for improvement, and taking accountability for ensuring solutions are performant and sustainable. Playing a critical role in defining how to enable our platform strategy and engineering efficiency through capabilities that apply at all levels of our technical stack. Area of Responsibility In this role you will join three other Heads of Architecture to collectively own the architecture strategy and technical direction of the BBC's online products. Together this architecture leadership - which is part of the engineering leadership - must ensure architectural alignment across all teams. Within this role, your focus will be on the BBC's Data Platform and Account & Identity capabilities, which underpin both digital and broadcast experiences at national and global scale. These platforms enable audience insight, personalisation, operational decision making and regulatory compliance, forming a critical part of the BBC's future technology landscape. As Head of Architecture for Data Platform & Account & Identity, your responsibilities will include: Creating and evolving platform capabilities that support billions of audience events per day, enabling high availability, secure and scalable systems with near zero tolerance for failure. This includes data ingestion, processing, and analytics platforms, alongside identity and authentication services used by millions of users globally. Leading the transition from vertically aligned systems to domain oriented, platform based architectures. This includes embedding data product thinking, clear ownership models, discoverability and governance, and supporting the maturity of operating models across platform and product teams. Defining and governing architectural standards across data, AI/ML and identity ecosystems. This includes ensuring coherence across real time and batch processing, machine learning enablement platforms, and customer identity services, while maintaining regulatory compliance, managing risk, and ensuring long term technical sustainability. Establishing architectural approaches that enable responsible AI and ML at scale, balancing innovation and experimentation with appropriate governance and safety. Providing architectural leadership for major technology decisions, including platform strategy, vendor selection and investment prioritisation, with clear accountability for enterprise level outcomes and trade offs. Leading, coaching and developing a senior architecture team, and contributing to the wider engineering and product leadership community to strengthen architectural practices, culture and capability across the organisation. As with similar leadership roles, your areas of focus are likely to evolve over time to support new programmes of work and organisational priorities. Your Skills and Experience The ideal candidate will evidence the following skills and experience: Significant experience as a technical architect (or similar role), including defining and delivering a technical vision and strategy, and designing scalable, reliable, and maintainable architectures. Proven digital leader, with gravitas to work effectively with senior colleagues as well as being able to inspire, motivate and drive change through a large engineering team. Ability to present to and influence C Level colleagues, creating great interpersonal relationships across the organisation. A team player who can coach, develop and mentor others in our engineering community, and provide leadership amongst your peers. Significant experience leading in a software development environment, including agile delivery at scale, and with an informed view of architectural and engineering best practice. Knowledge of a broad range of technology concepts such as cloud computing (e.g. AWS), micro service architectures, event driven architectures and data processing at scale. Approaches to standardisation and governance, such as to manage efficiency, security and legal compliance, in a way that balances standardisation with autonomy at scale. Strong organisational skills that enable you to work across multiple specialist teams to align architecture goals and drive change and adoption. Continued professional development both as a leader and technologist, including a deep understanding of industry trends (e.g. AI). You will be expected to proactively identify and leverage these trends to drive innovation. This includes staying ahead of emerging technologies, assessing their potential impact, and integrating relevant advancements into our architecture strategy to ensure we remain at the forefront of digital transformation. Being a leader at the BBC means putting the organisation's interest, goals and values first, ahead of individual team or function needs. The characteristics of an enterprise leader are: Focuses on outcomes over activity, adapts quickly, and simplifies complexity. They balance short term actions with long term impact, take full accountability for actions and decision making, and prioritise capability development to create teams fit for the future. If you can bring some of these skills and experiences, along with transferable strengths, we'd love to hear from you and encourage you to apply. Disclaimer This job description is a written statement of the essential characteristics of the job, with its principal accountabilities, incorporating a note of the skills, knowledge and experience required for a satisfactory level of performance. This is not intended to be a complete, detailed account of all aspects of the duties involved. Please note: If you were to be offered this role, the BBC will conduct Employment screening checks which include Reference checks; Eligibility to work checks; and if applicable to the role, Safeguarding and Adverse media/Social media checks. Any offer made is conditional on these checks being satisfactory. Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Recruitment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer. For any general queries, please contact: Redeployment The BBC is committed to redeploying employees seeking suitable alternative employment within the BBC and they will be given priority consideration ahead of the other applicants . click apply for full job details
Field Service Engineer page is loaded Field Service Engineerlocations: Bristol, United Kingdomtime type: Full timeposted on: Posted 15 Days Agojob requisition id: JR-Wiltshire and surrounding areas SN, BA, BS postcodes Exciting Career Opportunity as a Field Service Engineer at Linde Material Handling in Wiltshire and surrounding areas (SN, BA & BS postcodes). Linde Material Handling, a global leader in forklift trucks and warehouse equipment, is seeking skilled Field Service Engineers to join our team. As a Field Service Engineer, you will embark on a dynamic journey in the world of material handling, where no two days are the same. You'll immerse yourself in a diverse array of tasks, expertly navigating our extensive lineup of products-from agile pallet trucks to robust counterbalance machines, and cutting-edge very narrow aisle (VNA) trucks to innovative automated solutions. At Linde Material Handling, we offer a competitive benefits package, which includes: • A competitive salary based on your experience • The option of a 40-hour or 45-hour working week, Monday to Friday, shift premium and OT is available for those that want it. • 25 days of annual leave plus statutory bank holidays • A company pension scheme with a 6% employer contribution and a minimum 4% employee contribution • Eligibility to participate in Employee Incentive Schemes Join us and become part of a team that values employee engagement, strives for excellence, and prioritises customer satisfaction.# We offer: At Linde Material Handling the package we offer includes: A competitive salary scale dependent on your experience. The option of a 40-hour or 45-hour working week, Monday to Friday, shift premium and OT is available for those that want it. 25 days annual leave + statutory bank holidays Additional days holiday based on long service milestones Company pension scheme - 6% employer contribution; minimum 4% employee contribution Discount scheme, with access to deals from some of the UK's largest brands "Recommend a friend scheme" - if you enjoy your role, recommend someone else and get rewarded! Eligibility to join the Employee Incentive Schemes Receive a 6-week Induction which offers world class training to enable you in your role Long term training development plans, some of the best in the industry. World class Linde specialised product training Full Forklift Driver Licence Opportunity for growth through technical grading process Opportunity for the right candidates to undertake extended learning (Degree level) We support our engineers with local and national technical support Laptop and phone provided All specialist tooling provided and tool replacement policy provided by the company (Wear and Tear) Ensuring you are safe and look the part, all PPE supplied company cleaned specialist work wear In addition, Field Service Engineer's package includes: Paid travel "Door to Door" Customer base close to home with average travel just 30 minutes Company van and fuel card, with the option for private use Van washing through fuel card account Occasional on-call support, paid in addition to your salary# Tasks and Qualifications: Your role will be both hands-on and problem-solving-oriented, as you diagnose and resolve technical issues, ensuring our equipment operates at peak efficiency. You'll also be the guardian of preventative maintenance, conducting essential check-ups that keep our fleet running smoothly.Traveling to various customer locations, you'll bring your expertise to service Linde forklifts and other state-of-the-art material handling equipment, forging strong relationships, and delivering exceptional support. Prepare to be on the move, tackling challenges head-on and becoming an integral part of our customers' operation.We are interested in candidates with experience as vehicle technicians or mechanical engineers, particularly those who have worked as forklift technicians, plant fitters, plant technicians, or vehicle technicians. Experience with plant equipment, powered access equipment, agricultural machinery, motor vehicles, or industrial cleaners is highly desirable, but not sure if you have what we want, why not talk to us. Ideally you will have an NVQ level 3 (or equivalent) qualification, although this is not essential. We use the latest technology to keep accurate records and place orders, therefore being comfortable using IT equipment is essential. You will need to hold a full UK driving licence. As a Linde engineer you will need to be comfortable working autonomously and within a team.Linde is committed to fostering a diverse and inclusive workplace where everyone feels valued and supported. We welcome applications from individuals of all backgrounds, abilities, and experience. If you require any adjustments or accommodations during the application or interview process to ensure fairness and accessibility, please let us know. Linde Material Handling is a leading global manufacturer of forklift trucks and warehouse trucks, and a provider of intralogistics solutions and services. As an innovation leader, we deliver progressive products and tailored solutions, which meet all individual requirements that an application or company may have.We are represented in more than 100 countries worldwide with our own branches. The company's international network includes production and assembly plants in Germany, France, the Czech Republic, the USA, and China as well as more than 700 sales and service locations. Around the world, we have some 13,000 people working passionately on holistic intralogistics solutions, to help boost our customers' performance in the long term.Linde is part of the KION Group, which is the largest manufacturer of forklift trucks and warehouse trucks in Europe, measured by units. Within the KION Group, we are helping to shape the future together with our strong brands Linde, STILL and Dematic and represent the very best our industry has to offer. The KION Group is a global enterprise made up of more than 42,000 employees in more than 100 countries. Our culture is shaped by the shared values of the KION Group: integrity, collaboration, courage, and excellence.
Apr 05, 2026
Full time
Field Service Engineer page is loaded Field Service Engineerlocations: Bristol, United Kingdomtime type: Full timeposted on: Posted 15 Days Agojob requisition id: JR-Wiltshire and surrounding areas SN, BA, BS postcodes Exciting Career Opportunity as a Field Service Engineer at Linde Material Handling in Wiltshire and surrounding areas (SN, BA & BS postcodes). Linde Material Handling, a global leader in forklift trucks and warehouse equipment, is seeking skilled Field Service Engineers to join our team. As a Field Service Engineer, you will embark on a dynamic journey in the world of material handling, where no two days are the same. You'll immerse yourself in a diverse array of tasks, expertly navigating our extensive lineup of products-from agile pallet trucks to robust counterbalance machines, and cutting-edge very narrow aisle (VNA) trucks to innovative automated solutions. At Linde Material Handling, we offer a competitive benefits package, which includes: • A competitive salary based on your experience • The option of a 40-hour or 45-hour working week, Monday to Friday, shift premium and OT is available for those that want it. • 25 days of annual leave plus statutory bank holidays • A company pension scheme with a 6% employer contribution and a minimum 4% employee contribution • Eligibility to participate in Employee Incentive Schemes Join us and become part of a team that values employee engagement, strives for excellence, and prioritises customer satisfaction.# We offer: At Linde Material Handling the package we offer includes: A competitive salary scale dependent on your experience. The option of a 40-hour or 45-hour working week, Monday to Friday, shift premium and OT is available for those that want it. 25 days annual leave + statutory bank holidays Additional days holiday based on long service milestones Company pension scheme - 6% employer contribution; minimum 4% employee contribution Discount scheme, with access to deals from some of the UK's largest brands "Recommend a friend scheme" - if you enjoy your role, recommend someone else and get rewarded! Eligibility to join the Employee Incentive Schemes Receive a 6-week Induction which offers world class training to enable you in your role Long term training development plans, some of the best in the industry. World class Linde specialised product training Full Forklift Driver Licence Opportunity for growth through technical grading process Opportunity for the right candidates to undertake extended learning (Degree level) We support our engineers with local and national technical support Laptop and phone provided All specialist tooling provided and tool replacement policy provided by the company (Wear and Tear) Ensuring you are safe and look the part, all PPE supplied company cleaned specialist work wear In addition, Field Service Engineer's package includes: Paid travel "Door to Door" Customer base close to home with average travel just 30 minutes Company van and fuel card, with the option for private use Van washing through fuel card account Occasional on-call support, paid in addition to your salary# Tasks and Qualifications: Your role will be both hands-on and problem-solving-oriented, as you diagnose and resolve technical issues, ensuring our equipment operates at peak efficiency. You'll also be the guardian of preventative maintenance, conducting essential check-ups that keep our fleet running smoothly.Traveling to various customer locations, you'll bring your expertise to service Linde forklifts and other state-of-the-art material handling equipment, forging strong relationships, and delivering exceptional support. Prepare to be on the move, tackling challenges head-on and becoming an integral part of our customers' operation.We are interested in candidates with experience as vehicle technicians or mechanical engineers, particularly those who have worked as forklift technicians, plant fitters, plant technicians, or vehicle technicians. Experience with plant equipment, powered access equipment, agricultural machinery, motor vehicles, or industrial cleaners is highly desirable, but not sure if you have what we want, why not talk to us. Ideally you will have an NVQ level 3 (or equivalent) qualification, although this is not essential. We use the latest technology to keep accurate records and place orders, therefore being comfortable using IT equipment is essential. You will need to hold a full UK driving licence. As a Linde engineer you will need to be comfortable working autonomously and within a team.Linde is committed to fostering a diverse and inclusive workplace where everyone feels valued and supported. We welcome applications from individuals of all backgrounds, abilities, and experience. If you require any adjustments or accommodations during the application or interview process to ensure fairness and accessibility, please let us know. Linde Material Handling is a leading global manufacturer of forklift trucks and warehouse trucks, and a provider of intralogistics solutions and services. As an innovation leader, we deliver progressive products and tailored solutions, which meet all individual requirements that an application or company may have.We are represented in more than 100 countries worldwide with our own branches. The company's international network includes production and assembly plants in Germany, France, the Czech Republic, the USA, and China as well as more than 700 sales and service locations. Around the world, we have some 13,000 people working passionately on holistic intralogistics solutions, to help boost our customers' performance in the long term.Linde is part of the KION Group, which is the largest manufacturer of forklift trucks and warehouse trucks in Europe, measured by units. Within the KION Group, we are helping to shape the future together with our strong brands Linde, STILL and Dematic and represent the very best our industry has to offer. The KION Group is a global enterprise made up of more than 42,000 employees in more than 100 countries. Our culture is shaped by the shared values of the KION Group: integrity, collaboration, courage, and excellence.
Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
Apr 05, 2026
Full time
Head of Data Science Salary: £110K - £120K + bonus Location: Manchester 2-4 days a month The Opportunity We're working with a high-growth business that is scaling its data function to the next level. Data scientists here have traditionally combined reporting with predictive modelling, but the business is now creating a dedicated leadership role to bring focus, structure and engineering rigour to the discipline. As Head of Data Science, you'll lead a growing team of 6+ scientists embedded across product and functional teams, while also setting the technical direction and ensuring alignment with company-wide OKRs. You'll drive the transition towards machine learning engineering, championing end-to-end model ownership from research through to deployment in production. This is a fantastic opportunity to shape the data science strategy, support the career growth of talented scientists, and deliver measurable impact in areas such as search, pricing, personalisation, vouchers, marketing, operations and finance. Skills and Experience Proven leadership experience in data science or machine learning, ideally within product-led or consumer-facing organisations Strong background in building and deploying ML models at scale in production environments Ability to structure and lead embedded data science teams, partnering effectively with senior stakeholders across multiple domains Hands-on technical expertise with tools such as Databricks, Python, Spark, and GCP/BigQuery Engineering mindset, with experience moving teams toward machine learning engineering best practice Credibility to lead long-tenured individual contributors while providing direction, mentorship and career development If you are looking for a new challenge, then please submit your CV for initial screening and more details.
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
Apr 04, 2026
Full time
A total cash package of up to £110,000 comprising of a base salary of £82,005 We are a dynamic consulting firm, focused on delivering sustainable change. We ensure our clients succeed in their long-term goals by helping them turn their strategy into action through exceptional delivery and a commitment to establishing a culture of change. Clients like what we do and how we work, and we are looking for people to join the Moorhouse team. We pride ourselves on being proactive, collaborative, and straightforward team players. We work efficiently and collaboratively as a team and both honesty and integrity are key to this. In return you will be part of a supportive and high-performing team that shares the workload, looks after each other and celebrates success together. You can be assured of an exciting opportunity that will help you grow your skills through meaningful challenges and equip you with skills, experience and knowledge that can help organisations respond to the turbulence, change and opportunity that will define the future of work. We encourage behaviours that promote transparency, collaboration and achievement of shared goals. Data Science at Moorhouse Our Data Science capability is a growing and strategically significant part of Moorhouse. We help organisations unlock the value of their data by combining deep technical expertise with the consulting skills needed to drive real-world change. Our team works across the full data and analytics lifecycle,from defining strategy and enabling data-driven cultures, to building advanced analytical models and delivering digital products that embed predictive insight into everyday decision-making. We partner with clients across multiple sectors, including healthcare, energy and utilities, life sciences, financial services and TMT. Much of our work today focuses on developing and deploying analytical tools and web-based products that deliver forecasting, optimisation, and automated insight. Our projects span machine learning, statistical modelling, data engineering, data visualisation and MLOps, always with a focus on driving tangible business outcomes. As demand for digital and AI-enabled transformation continues to grow, our Data Science team is expandingand contributing to some of the most impactful programmes across the firm. Responsibilities Why join the Data Science team at Moorhouse? We are seeking a hands-on, technically focused Manager to join the Data Science function, who will lead the delivery of complex data science and digital product projects. While there will be opportunities to contribute to business growth and propositions, the key component of this role is strong technical delivery : architecting solutions, guiding teams, and ensuring the highest-quality output. This role complements another Manager in the team who is focused on proposition development and commercial growth. You will bring the deep engineering and delivery expertise necessary to ensure our solutions are robust, scalable and production-ready. In this role, you will have the opportunity to: Lead complex end-to-end delivery of data science and digital product solutions Lead the delivery of high-impact projects involving machine learning, forecasting, optimisation and data-driven digital products. Design and architect analytical solutions, including modelling approaches, data pipelines, integration patterns and deployment frameworks. Promote delivery excellence, engineering discipline and best-practice coding standards across teams. Be the technical leadership on DevOps/MLOps Implement and embed CI/CD pipelines, automated testing frameworks, containerisation and monitoring. Guide cloud architecture and infrastructure-as-code approaches (AWS, Azure, GCP). Encourage best practices for operationalising machine learning models at scale. Lead multidisciplinary teams with confidence Coach, mentor and support junior team members, ensuring they deliver high-quality technical work. Foster engineering maturity and support the development of technical capability across the team. Engage with senior stakeholders Translate technical detail into actionable insights and recommendations for clients. Build trusted relationships with leaders across multiple sectors. Support commercial and proposition development Provide technical input into proposals and bids. Contribute to refining our Data Science and AI propositions. Essential skills What are we looking for? We are seeking candidates with 6-8+ years of experience in data science, data engineering, analytics or AI product delivery, with a strong emphasis on hands-on technical leadership. Deep Technical Delivery Expertise Advanced proficiency in Python and SQL ; experience designing and delivering production-grade solutions. Operationalisation of machine learning models, forecasting tools, optimisation algorithms or analytical applications. Experience designing data pipelines, ETL workflows, APIs and data integration approaches. Automated testing (unit, integration, data validation, ML testing) Infrastructure-as-code (Terraform, ARM, CloudFormation) Monitoring and observability Experience with cloud ecosystems (Azure, AWS, GCP, Snowflake, Databricks). Strong understanding of software engineering fundamentals and modern development practices. Leadership & Consulting Capability Proven ability to lead delivery of complex technical programmes. Strong people leadership and mentoring capabilities. Excellent communication skills and ability to engage senior stakeholders. Collaborative mindset and commitment to high-quality client delivery. What we can offer you: A total cash package of up to £110,000 comprising of a base salary of £82,005 and a combination of personal and company bonuses that are paid every six months. 25 days annual leave increasing by one day for every full year of service to a maximum of 30 days with the option to buy or sell up to five days of annual leave per year. Life Assurance, Private Medical Insurance, Group Personal Pension Scheme and a range of discounted lifestyle and well-being benefits through Perkbox. A culture where you will not need to compete with others because of promotion quotas or the typical distribution curves that govern performance management in other organisations. We recognise and reward performance consistently and transparently across the firm so that everyone knows where they stand. We offer flexible working arrangements with our offices near Liverpool Street although you can expect to spend some time as part of a team onUKclient sites.Wesupport flexibility wherever possible. Moorhouse is proud to be an equal opportunities employer, and our values underpin a working environment that is inclusive for all those who work for us. We encourage people to bring their whole selves to work, contribute ideas, take the initiative and be responsible for their impact on others internally and externally. We value your privacy
A dynamic consulting firm is seeking a Manager to lead complex data science projects in Greater London. This role requires 6-8+ years of experience and technical expertise in Python and SQL. You will be responsible for delivering high-impact solutions involving machine learning and data-driven products while guiding junior team members. The firm offers a competitive cash package, flexible working arrangements, and a supportive environment that fosters professional growth.
Apr 04, 2026
Full time
A dynamic consulting firm is seeking a Manager to lead complex data science projects in Greater London. This role requires 6-8+ years of experience and technical expertise in Python and SQL. You will be responsible for delivering high-impact solutions involving machine learning and data-driven products while guiding junior team members. The firm offers a competitive cash package, flexible working arrangements, and a supportive environment that fosters professional growth.
Unreal Simulation Engineer page is loaded Unreal Simulation Engineerlocations: Bristoltime type: Vollzeitposted on: Gestern ausgeschriebenjob requisition id: JR100939# Unreal Simulation Engineer Also known as: Unreal Engineer, Unreal Engineer, Unreal Developer, Simulation Software Engineer, Robotics Simulation Engineer, Virtual Environment Engineer Location: Bristol, UK Approach: Hybrid Remote, typically 2-3 days per week in the office Contract: Permanent, full-timeRosenxt is revolutionizing subsea robotics and autonomous systems, and we're building a world-class engineering team at our Bristol location to drive this innovation forward.To build our engineering team we are recruiting for top-tier talent that is keen to: Build cutting edge simulation tools that underpin the development of world-class subsea robotics systems that tackle real-world problems. Harness the latest advances in physics and rendering technologies to build simulations that continually reduce the sim-to-real gap.We are seeking an experienced and highly skilled Unreal Simulation Engineer to join our innovative team. In this role, you will lead the development of state-of-the-art digital twins and robotic simulations that drive the clean energy transition. As a key team member, you will design, develop, and optimize products and tools for internal customers, supporting data analysis and autonomous robotics deployment in the offshore energy industry. You will work closely with the product team, cross-functional engineering teams, and various stakeholders throughout the entire product lifecycle. Your responsibilities will encompass high-level software development, architectural design, and adherence to rigorous quality standards using Modern C++ and Unreal Engine. You will collaborate with cross-functional teams in Robotics, Software Engineering, and Machine Learning to translate novel ideas into tangible products. If you're passionate about robotics and simulation, love solving complex technical challenges, and want to mentor others while growing your own expertise, this role offers the perfect blend of technical depth and meaningful impact.# What you can expect Implement sophisticated features and functionalities that accurately represent real-world subsea environments and robotic operations. Write and maintain high-quality, efficient, and scalable code using Modern C++ and CI/CD practices within the Unreal Engine framework. Conduct technical reviews and provide constructive feedback to ensure high standards. Work closely with the product team to define project requirements, objectives, and deliverables. Drive the development roadmap from design through to implementation, testing, and deployment. Drive development of simulation solutions and frameworks that can be applied across multiple projects, driving reuse and consistency. Provide technical leadership and coordinate with cross-functional engineering teams (robotics and ML) to integrate and align various components and systems. Foster collaboration and knowledge exchange across project teams and business units, strengthening alignment and shared expertise. Stay updated with the latest industry trends, tools, and technologies to ensure our solutions remain cutting-edge and competitive.# What you bring You'll thrive at Rosenxt if you are creative, self-reliant and collaborative and want to help the team do its best work. Essential Skills: Proficiency in Unreal Engine C++ systems development, such as plugins/modules, multi-threading, physics interactions, third-party library integrations Strong understanding of 3D mathematics. Proficiency in C++ (17 onwards) and Python. Understanding of Docker and containerisation. Experience optimizing simulation performance for scalability and efficiency. Strong understanding of software design patterns, architectural principles, and scalable coding practices. Proven ability to lead teams, mentor junior engineers, and maintain high standards of code quality. Excellent communication skills and experience working in cross-functional teams. Desirable Skills: A background in robotics and autonomous systems. Experience in simulating sensors, actuators, and physics. Experience in Games Development or Real-time systems Experience with data analysis and visualization tools. Experience creating internal Unreal Editor tooling. Prior experience with robotics simulators such as NVidia Isaac or Gazebo. Familiarity with Linux. Performance analyses and benchmarking. Familiarity with 3D modelling software (e.g. Blender, Maya, 3DMax). Software in the loop & Hardware in the Loop (HIL) testing. Working with 3D and Video data, including mesh and point clouds. Deploying large scale systems in the cloud.# Look forward to Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Funded career and learning development opportunities. Flexible, hybrid working. 30 days annual leave + bank holidays. Company pension scheme where all employees receive a standard 10% employer contribution, with no obligation for employee contributions. Company sponsored life insurance and private medical insurance. Cycle scheme provided by Green Cycle Initiative. Competitive remuneration packageMore information about the Rosenxt Group please click here:
Apr 04, 2026
Full time
Unreal Simulation Engineer page is loaded Unreal Simulation Engineerlocations: Bristoltime type: Vollzeitposted on: Gestern ausgeschriebenjob requisition id: JR100939# Unreal Simulation Engineer Also known as: Unreal Engineer, Unreal Engineer, Unreal Developer, Simulation Software Engineer, Robotics Simulation Engineer, Virtual Environment Engineer Location: Bristol, UK Approach: Hybrid Remote, typically 2-3 days per week in the office Contract: Permanent, full-timeRosenxt is revolutionizing subsea robotics and autonomous systems, and we're building a world-class engineering team at our Bristol location to drive this innovation forward.To build our engineering team we are recruiting for top-tier talent that is keen to: Build cutting edge simulation tools that underpin the development of world-class subsea robotics systems that tackle real-world problems. Harness the latest advances in physics and rendering technologies to build simulations that continually reduce the sim-to-real gap.We are seeking an experienced and highly skilled Unreal Simulation Engineer to join our innovative team. In this role, you will lead the development of state-of-the-art digital twins and robotic simulations that drive the clean energy transition. As a key team member, you will design, develop, and optimize products and tools for internal customers, supporting data analysis and autonomous robotics deployment in the offshore energy industry. You will work closely with the product team, cross-functional engineering teams, and various stakeholders throughout the entire product lifecycle. Your responsibilities will encompass high-level software development, architectural design, and adherence to rigorous quality standards using Modern C++ and Unreal Engine. You will collaborate with cross-functional teams in Robotics, Software Engineering, and Machine Learning to translate novel ideas into tangible products. If you're passionate about robotics and simulation, love solving complex technical challenges, and want to mentor others while growing your own expertise, this role offers the perfect blend of technical depth and meaningful impact.# What you can expect Implement sophisticated features and functionalities that accurately represent real-world subsea environments and robotic operations. Write and maintain high-quality, efficient, and scalable code using Modern C++ and CI/CD practices within the Unreal Engine framework. Conduct technical reviews and provide constructive feedback to ensure high standards. Work closely with the product team to define project requirements, objectives, and deliverables. Drive the development roadmap from design through to implementation, testing, and deployment. Drive development of simulation solutions and frameworks that can be applied across multiple projects, driving reuse and consistency. Provide technical leadership and coordinate with cross-functional engineering teams (robotics and ML) to integrate and align various components and systems. Foster collaboration and knowledge exchange across project teams and business units, strengthening alignment and shared expertise. Stay updated with the latest industry trends, tools, and technologies to ensure our solutions remain cutting-edge and competitive.# What you bring You'll thrive at Rosenxt if you are creative, self-reliant and collaborative and want to help the team do its best work. Essential Skills: Proficiency in Unreal Engine C++ systems development, such as plugins/modules, multi-threading, physics interactions, third-party library integrations Strong understanding of 3D mathematics. Proficiency in C++ (17 onwards) and Python. Understanding of Docker and containerisation. Experience optimizing simulation performance for scalability and efficiency. Strong understanding of software design patterns, architectural principles, and scalable coding practices. Proven ability to lead teams, mentor junior engineers, and maintain high standards of code quality. Excellent communication skills and experience working in cross-functional teams. Desirable Skills: A background in robotics and autonomous systems. Experience in simulating sensors, actuators, and physics. Experience in Games Development or Real-time systems Experience with data analysis and visualization tools. Experience creating internal Unreal Editor tooling. Prior experience with robotics simulators such as NVidia Isaac or Gazebo. Familiarity with Linux. Performance analyses and benchmarking. Familiarity with 3D modelling software (e.g. Blender, Maya, 3DMax). Software in the loop & Hardware in the Loop (HIL) testing. Working with 3D and Video data, including mesh and point clouds. Deploying large scale systems in the cloud.# Look forward to Development opportunities and career opportunities in a global, innovative and long-term oriented group of companies with family character Funded career and learning development opportunities. Flexible, hybrid working. 30 days annual leave + bank holidays. Company pension scheme where all employees receive a standard 10% employer contribution, with no obligation for employee contributions. Company sponsored life insurance and private medical insurance. Cycle scheme provided by Green Cycle Initiative. Competitive remuneration packageMore information about the Rosenxt Group please click here:
Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Apr 04, 2026
Full time
Founding Applied Scientist Build AI systems that learn from experience to move real business metrics London / Remote Full-time Pavo Labs About Pavo Pavo is building Enterprise Superintelligence: compounding systems that take ownership of business outcomes and work with humans to deliver them. We believe that while foundation models are necessary, they are not sufficient. The hard problem is systems intelligence: end-to-end architectures that understand a company's code, data, and decisions, and improve themselves through experience. We are assembling a small, senior team of researchers and engineers obsessed with systems-first intelligence. Our current team consists of PhDs and ML engineers from top applied ML and coding agent companies, with a heritage of shipping systems at Spotify, ShareChat, and Sourcegraph scale. Our team has built impressive momentum with a small group of highly capable engineers and researchers. The Opportunity As a Founding Applied Scientist, you will operate at the intersection of research and engineering, building the core systems that allow AI teammates to learn from enterprise environments, reason over tribal knowledge, and drive measurable business impact. You will help shape how applied science is practiced in the industry in the age of agents. This is a high-autonomy role for a builder who wants to move beyond static benchmarks and solve the "last mile" problem of AI reliability and agency in the enterprise. What You'll Build You will research, design, and ship the next generation of our system architecture, focusing on: Agents & Tribal Knowledge Systems: Design multi-agent architectures that tackle complex, long-horizon tasks. Solve High-Impact Applied Science Problems: Lead the charge in identifying, scoping, and solving complex business problems using machine learning. This includes everything from improving user engagement and retention to optimizing pricing and inventory. Partner with Customers: Work directly with the engineering and product teams of our most strategic customers. You'll be their trusted advisor for all things machine learning, helping them adopt agentic architectures. End-to-End Model Development: Design, build, and deploy production-grade machine learning models for our customers using the Pavo AI platform, extending its capabilities where necessary to handle large-scale user-centric systems. What We Are Looking For We are looking for exceptional individuals who can operate at the frontier of applied AI research. You should be as comfortable reading a NeurIPS paper as you are debugging a distributed system. Core Qualifications Experience & Impact: 4+ years of experience in Applied Science or ML Engineering, with a clear track record of shipping ML products that directly impacted top-line business metrics (e.g., retention, engagement, revenue) at scale (100M+ users). Production Engineering: You are an engineer first. Deep proficiency in Python/C++, experience with low-latency inference systems, and familiarity with distributed computing frameworks (Ray, Spark, Flink). You write code that survives in production, not just notebooks. The Full ML Lifecycle: Expertise in end-to end system design: from feature stores and real time data pipelines (Kafka/Beam) to A/B testing infrastructure and model monitoring. You understand the nuances of online vs. offline evaluation and have experience solving for feedback loops in production. Algorithmic Depth: Strong foundations in core ML approaches used in large-scale search/recsys (embeddings, retrieval & ranking, GNNs, bandits) combined with expertise in the frontier stack (LLMs, RL, multi agent orchestration). Technical Strategy: Experience defining technical roadmaps and architectural standards. You can navigate trade-offs between model complexity, serving latency, and engineering velocity. Nice to Have PhD or M.S. in Computer Science, Statistics, or a related quantitative field. Experience at a frontier AI lab or high growth AI startup. Publications in top tier ML conferences (e.g., NeurIPS, ICML, ICLR, KDD, RecSys). Background in recommender systems, personalization, causal inference, or computational advertising. Why Join Us Founding Equity: Significant ownership in a company tackling the next layer of the AI stack. Hard Problems: Work on unsolved problems in agentic reasoning, memory, and reinforcement learning. World Class Team: Collaborate with a dense talent cluster of researchers and engineers who have shipped products serving hundreds of millions of users. Pavo is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
Apr 04, 2026
Full time
.Senior Principal Data Scientist page is loaded Senior Principal Data Scientistlocations: UK - London (London Wall): Londontime type: Full timeposted on: Posted Todayjob requisition id: R107535 Senior Principal Data Scientist About the Business At Cirium our goal is to keep the world connected. We are the industry leader in aviation analytics; helping our customers understand the past, present, and predicting what will happen tomorrow. Our mission is to transform the aviation industry by enabling airlines, airports, travel companies, tech giants, aircraft manufacturers, financial institutions and many more accelerate their own digital transformation. You can learn more about Cirium About the Team Propulsion Labs is Cirium's innovation group, focused on solving complex, high impact problems in aviation analytics. We work in small, collaborative teams to explore ideas, test solutions, and scale products that deliver meaningful value to customers. Our environment supports autonomy, learning, and inclusive collaboration. About the Role As a Senior Principal Data Scientist , you will contribute deep technical expertise while helping shape best practices across the data science community. This is a senior individual contributor role with strong influence through mentorship, collaboration, and technical leadership. You will work closely with partners across product, engineering, and the business to design and deliver data driven solutions.We welcome candidates from a range of backgrounds and experiences who are excited to apply advanced analytics to real world problems. Responsibilities: Technical Leadership Act as the go-to expert for state-of-the-art advanced analytics, machine learning, and generative AI. Define and evolve best practices for complex modeling and design problems, ensuring scalability, robustness, and performance. Provide thought leadership on emerging technologies and methodologies relevant to aviation analytics. Mentorship & Collaboration Mentor and coach data scientists, fostering a culture of continuous learning and technical excellence. Collaborate closely with product managers, engineers, and domain experts to align data science initiatives with business objectives. Influence strategic decisions by translating complex technical insights into actionable recommendations. Hands-On Development Lead by example through hands-on coding and model development. Design, prototype, and validate innovative solutions for high-impact problems. Partner with engineering teams to deploy models into production environments. Domain Expertise Leverage deep knowledge of aviation, travel, or related industries to inform modeling approaches and deliver customer-centric solutions. Stay ahead of industry trends impacting data-driven products. Requirements: Data Mastery Comfortable working with large, complex, real-world datasets, preferably aviation-related. Expertise in data wrangling, feature engineering, and scalable data pipelines. Depth Experience: in at least one area, with experience across several (in approximate order of relevance):Predictive modeling over tabular data Deep Learning NLP + LLMs, GenAI agent pipelines Simulations Graph-based models Time-series forecasting Geospatial modeling Causal inference Reinforcement learning Optimization problems Anomaly detection Deployment Experience Proven track record of deploying or partnering on customer-facing production ML systems . Proficiency in Python and SQL (experience with distributed or cloud based data platforms is a plus) Ability to communicate technical ideas clearly to both technical and non technical audiences Working for you: We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer: Generous holiday allowance with the option to buy additional days Health screening, eye care vouchers and private medical benefits Wellbeing programs Life assurance Access to a competitive contributory pension scheme Save As You Earn share option scheme Travel Season ticket loan Electric Vehicle Scheme Optional Dental Insurance Maternity, paternity and shared parental leave Employee Assistance Programme Access to emergency care for both the elderly and children RECARES days, giving you time to support the charities and causes that matter to you Access to employee resource groups with dedicated time to volunteer Access to extensive learning and development resources Access to employee discounts scheme via Perks at WorkLearn more about the LexisNexis Risk team and how we work We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. Click to access benefits specific to your location. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our or please contact 1-. Criminals may pose as recruiters asking for money or personal information. We never request money or banking details from job applicants. Learn more about spotting and avoiding scams . Please read our .We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. USA Job Seekers: . Cirium offers aviation and air travel data and analytics to help keep the world in motion. Our people are at the center of who we are and what we do. We put the interests of our customers unmistakably first, we are empowered by the trust we earn from each other and our customers, we share a common global vision for Cirium based diversity, inclusion and collaboration and our passion for discovery will transform industries. Our team delivers insight, built from decades of experience in the sector, enabling travel companies, aircraft manufacturers, airports, airlines and financial institutions, among others, to make logical and informed decisions which shape the future of travel, growing revenues and enhancing customer experiences.
policyMaintenance Fitter page is loaded Maintenance Fitterlocations: Camden, United Kingdomtime type: Full timeposted on: Posted Todaytime left to apply: End Date: April 3, 2026 (26 days left to apply)job requisition id: JRHeidelberg Materials UK (formerly Hanson UK) is one of the UK's largest suppliers of construction materials, employing over 4,000 people and operating around 300 manufacturing sites in the UK. We are committed to building a more sustainable future and recognise that a diverse workforce is key to our growth and development. We aim to foster a culture that values openness, transparency and individual achievement. At the centre of our actions lies the responsibility for the environment. As the front runner on the path to carbon neutrality and circular economy in the building materials industry, we are working on sustainable building materials and solutions for the future. We enable new opportunities for our customers through digitalisation.# Maintenance Fitter - Camden British Rail Freight Depot Salary: £40,000 Hours: 42 per week We're looking for someone hands-on, proactive, and technically confident, someone who's not afraid to get stuck in, solve problems, and keep our equipment operating safely and efficiently.Don't worry if you don't meet every requirement. If you've got relevant experience and a proactive, hands-on approach, we'd really like to hear from you. What You'll Be Doing Maintenance & Repairs Carry out planned and reactive maintenance to keep plant equipment performing at its best. Improve reliability while helping drive down operational costs. Diagnose faults, analyse failures and take corrective action. Conduct inspections, adjustments and calibrations to company standards. Mechanical Operations Perform mechanical repairs on machinery, equipment, and site infrastructure. Troubleshoot bulk storage and material handling systems including silos, vessels, hoppers and pneumatic/mechanical transport systems. Maintain pumping, compressed air and pneumatic systems. Lifting & Handling Carry out lifting, rigging and slinging operations. Operate cranes and hoists (where trained). Documentation & Drawings Work confidently from written instructions, engineering drawings, plans and system diagrams. Hydraulics & Pneumatics Apply working knowledge of pneumatic systems to identify faults and support rectification works. Welding & Fabrication (Where applicable to your experience) Perform welding and fabrication tasks including bending, folding, cutting and rolling. Use a variety of welding processes including MMA, MIG, TIG, arc-air and mixed-gas systems. Fitting Deliver high-standard bench fitting including keys, pulleys, gears, couplings, pneumatic drives, motors and control valves. What We're Looking For You don't need to tick every box. If you have relevant experience and the right attitude, we want to hear from you.Desirable qualifications include: Time-served Electrician with City & Guilds Electrical qualifications or relevant NVQ. BTEC/NVQ Level 3 Mechanical Engineering. City & Guilds 2360 Electrical Installation Pt1 & Pt2. City & Guilds th Edition IEE Regulations. BS 4872 MMA/MIG Welding Training.At Heidelberg Materials, we don't just offer jobs-we build careers. As a global leader in construction materials, we're committed to innovation, sustainability, and, above all, our people. Rewards & Benefits We're proud to be recognised as an Employer of Choice, with accreditations including: Armed Forces Covenant (Gold) Disability Confident 5% Club (Platinum) Mates in Mind Clear Assured STEM Ambassador MPQC Member Competitive Package: Salary, bonus incentives, generous pension, and life assurance Work-Life Balance: 27 days holiday (plus bank holidays), agile/flexible working, holiday purchase, and sabbatical options, Season and travel ticket loans Family-Friendly Policies: Enhanced support for maternity, paternity, adoption, IVF, neonatal care, and menopause Inclusive Culture: Paid volunteering day and active employee communities (LGBTQ+, Women in STEM, Armed Forces, and more) Wellbeing & Development: Employee Assistance Programme, retail discounts, and continuous learning opportunitiesAt Heidelberg Materials UK (previously known as Hanson UK) we strive to create an inclusive and respectful workplace where every individual can bring their unique skills and background to contribute to the success of our business.At Heidelberg Materials UK (previously known as Hanson UK), we understand that a diverse workforce is key to our growth and development, and we aim to foster a culture that values openness, transparency, and individual achievement.As part of our commitment to promoting diversity, we are actively working to encourage more individuals to consider careers within the construction industry.We believe in building a workplace that is dedicated to promoting inclusivity and diversity.If you're interested in joining our team, we encourage you to apply, even if your experience or skill set doesn't perfectly align with the job description. Creating a candidate home page is optional, when asked, but you can use this to quickly see the progress of your application(s).You may still be the right fit for this or other roles within our company.Heidelberg Materials is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. For quick access to screen reading technology compatible with this site (free step by step tutorial ). Please contact for additional information or to request accommodations.We understand that women may face unique challenges in their careers, and we are committed to providing a supportive environment to help you thrive.Our family-friendly policies, such as enhanced maternity and parental leave, neonatal care, and adoption support, will provide you with the flexibility and support you need to balance your personal and professional commitments.We also offer a range of benefits, such as access to our Employee Assistance Program, trained mental health first aiders, discounted private medical benefits and much more, to ensure your wellbeing is prioritized.
Apr 04, 2026
Full time
policyMaintenance Fitter page is loaded Maintenance Fitterlocations: Camden, United Kingdomtime type: Full timeposted on: Posted Todaytime left to apply: End Date: April 3, 2026 (26 days left to apply)job requisition id: JRHeidelberg Materials UK (formerly Hanson UK) is one of the UK's largest suppliers of construction materials, employing over 4,000 people and operating around 300 manufacturing sites in the UK. We are committed to building a more sustainable future and recognise that a diverse workforce is key to our growth and development. We aim to foster a culture that values openness, transparency and individual achievement. At the centre of our actions lies the responsibility for the environment. As the front runner on the path to carbon neutrality and circular economy in the building materials industry, we are working on sustainable building materials and solutions for the future. We enable new opportunities for our customers through digitalisation.# Maintenance Fitter - Camden British Rail Freight Depot Salary: £40,000 Hours: 42 per week We're looking for someone hands-on, proactive, and technically confident, someone who's not afraid to get stuck in, solve problems, and keep our equipment operating safely and efficiently.Don't worry if you don't meet every requirement. If you've got relevant experience and a proactive, hands-on approach, we'd really like to hear from you. What You'll Be Doing Maintenance & Repairs Carry out planned and reactive maintenance to keep plant equipment performing at its best. Improve reliability while helping drive down operational costs. Diagnose faults, analyse failures and take corrective action. Conduct inspections, adjustments and calibrations to company standards. Mechanical Operations Perform mechanical repairs on machinery, equipment, and site infrastructure. Troubleshoot bulk storage and material handling systems including silos, vessels, hoppers and pneumatic/mechanical transport systems. Maintain pumping, compressed air and pneumatic systems. Lifting & Handling Carry out lifting, rigging and slinging operations. Operate cranes and hoists (where trained). Documentation & Drawings Work confidently from written instructions, engineering drawings, plans and system diagrams. Hydraulics & Pneumatics Apply working knowledge of pneumatic systems to identify faults and support rectification works. Welding & Fabrication (Where applicable to your experience) Perform welding and fabrication tasks including bending, folding, cutting and rolling. Use a variety of welding processes including MMA, MIG, TIG, arc-air and mixed-gas systems. Fitting Deliver high-standard bench fitting including keys, pulleys, gears, couplings, pneumatic drives, motors and control valves. What We're Looking For You don't need to tick every box. If you have relevant experience and the right attitude, we want to hear from you.Desirable qualifications include: Time-served Electrician with City & Guilds Electrical qualifications or relevant NVQ. BTEC/NVQ Level 3 Mechanical Engineering. City & Guilds 2360 Electrical Installation Pt1 & Pt2. City & Guilds th Edition IEE Regulations. BS 4872 MMA/MIG Welding Training.At Heidelberg Materials, we don't just offer jobs-we build careers. As a global leader in construction materials, we're committed to innovation, sustainability, and, above all, our people. Rewards & Benefits We're proud to be recognised as an Employer of Choice, with accreditations including: Armed Forces Covenant (Gold) Disability Confident 5% Club (Platinum) Mates in Mind Clear Assured STEM Ambassador MPQC Member Competitive Package: Salary, bonus incentives, generous pension, and life assurance Work-Life Balance: 27 days holiday (plus bank holidays), agile/flexible working, holiday purchase, and sabbatical options, Season and travel ticket loans Family-Friendly Policies: Enhanced support for maternity, paternity, adoption, IVF, neonatal care, and menopause Inclusive Culture: Paid volunteering day and active employee communities (LGBTQ+, Women in STEM, Armed Forces, and more) Wellbeing & Development: Employee Assistance Programme, retail discounts, and continuous learning opportunitiesAt Heidelberg Materials UK (previously known as Hanson UK) we strive to create an inclusive and respectful workplace where every individual can bring their unique skills and background to contribute to the success of our business.At Heidelberg Materials UK (previously known as Hanson UK), we understand that a diverse workforce is key to our growth and development, and we aim to foster a culture that values openness, transparency, and individual achievement.As part of our commitment to promoting diversity, we are actively working to encourage more individuals to consider careers within the construction industry.We believe in building a workplace that is dedicated to promoting inclusivity and diversity.If you're interested in joining our team, we encourage you to apply, even if your experience or skill set doesn't perfectly align with the job description. Creating a candidate home page is optional, when asked, but you can use this to quickly see the progress of your application(s).You may still be the right fit for this or other roles within our company.Heidelberg Materials is also committed to working with and providing reasonable accommodations to individuals with disabilities. Please let your recruiter know if you need an accommodation at any point during the interview process. For quick access to screen reading technology compatible with this site (free step by step tutorial ). Please contact for additional information or to request accommodations.We understand that women may face unique challenges in their careers, and we are committed to providing a supportive environment to help you thrive.Our family-friendly policies, such as enhanced maternity and parental leave, neonatal care, and adoption support, will provide you with the flexibility and support you need to balance your personal and professional commitments.We also offer a range of benefits, such as access to our Employee Assistance Program, trained mental health first aiders, discounted private medical benefits and much more, to ensure your wellbeing is prioritized.
Maintenance Engineer Key Information: Location: Pontardulais Salary: £38,000-£43,000 Shifts: 4 on, 4 off Sector: Production Join a Leading Manufacturer at the Cutting Edge of Innovation Step into a recognised manufacturing company near Pontardulais that truly values its people and embraces innovation at every turn. Here, commitment to quality and efficiency goes hand in hand with a genuine focus on supporting and developing the team. With ongoing investment in the latest technology and processes, the working environment is fast-paced and dynamic-no two days are alike, keeping things fresh and engaging. The company prides itself on creating a welcoming and inclusive culture where everyone's ideas matter. Whether it's continuous improvement, maintaining top-notch health and safety standards, or nurturing the next generation of talent, collaboration and teamwork lie at the heart of everything. You'll find plenty of opportunities to learn, grow, and stretch your skills through training and hands-on experience with cutting-edge equipment. If you're after a forward-thinking employer who'll back your professional growth and help you take your engineering career further than you thought possible, this company could be the perfect place to make your mark. This is what you'll be doing as a Maintenance Engineer As a Maintenance Engineer, you'll play a vital role in ensuring smooth operations across high-volume production lines: Perform both preventative and reactive maintenance on a wide range of modern machinery, including precision cutters, conveyor belts, vacuum sealers. Quickly diagnose and resolve electrical and mechanical faults to minimise downtime and maintain production targets under pressure. Work collaboratively with production and engineering teams to drive continuous improvement and suggest practical upgrades to equipment and processes. Anticipate problems before they arise, helping to improve system reliability and prevent recurring issues. Ensure compliance with health and safety practices, contributing to a safe and productive workplace. This is what you'll bring to the team Bring your expertise as a Maintenance Engineer and join a team that values curiosity, initiative, and continuous learning: Experience in maintaining high-volume production lines is a plus, but not essential. A passion for troubleshooting and a methodical approach when working under pressure and to tight deadlines. Eagerness to learn and adapt as you tackle new and ever-evolving machinery and technologies. A proactive mindset - improving processes, not just fixing problems. Team spirit and strong communication skills for collaborating closely with colleagues across departments. This is what you'll get in return We offer a rewarding and supportive work environment designed to help you grow: Competitive salary: £38,000-£43,000 4 on, 4 off shift pattern for excellent work/life balance Access to state-of-the-art tools and equipment On-site support, guidance, and comprehensive training Opportunity to work alongside skilled engineers in a forward-thinking company Are you up to the challenge? Are you the Maintenance Engineer we're looking for? Please get in touch today with engineering specialist recruiter, Jacob Purcell Please apply with a CV and feel free to include a cover letter outlining why you're perfect for the role. We also have a referral scheme so if you know of someone who would be great for the role please get in touch. Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.
Apr 04, 2026
Full time
Maintenance Engineer Key Information: Location: Pontardulais Salary: £38,000-£43,000 Shifts: 4 on, 4 off Sector: Production Join a Leading Manufacturer at the Cutting Edge of Innovation Step into a recognised manufacturing company near Pontardulais that truly values its people and embraces innovation at every turn. Here, commitment to quality and efficiency goes hand in hand with a genuine focus on supporting and developing the team. With ongoing investment in the latest technology and processes, the working environment is fast-paced and dynamic-no two days are alike, keeping things fresh and engaging. The company prides itself on creating a welcoming and inclusive culture where everyone's ideas matter. Whether it's continuous improvement, maintaining top-notch health and safety standards, or nurturing the next generation of talent, collaboration and teamwork lie at the heart of everything. You'll find plenty of opportunities to learn, grow, and stretch your skills through training and hands-on experience with cutting-edge equipment. If you're after a forward-thinking employer who'll back your professional growth and help you take your engineering career further than you thought possible, this company could be the perfect place to make your mark. This is what you'll be doing as a Maintenance Engineer As a Maintenance Engineer, you'll play a vital role in ensuring smooth operations across high-volume production lines: Perform both preventative and reactive maintenance on a wide range of modern machinery, including precision cutters, conveyor belts, vacuum sealers. Quickly diagnose and resolve electrical and mechanical faults to minimise downtime and maintain production targets under pressure. Work collaboratively with production and engineering teams to drive continuous improvement and suggest practical upgrades to equipment and processes. Anticipate problems before they arise, helping to improve system reliability and prevent recurring issues. Ensure compliance with health and safety practices, contributing to a safe and productive workplace. This is what you'll bring to the team Bring your expertise as a Maintenance Engineer and join a team that values curiosity, initiative, and continuous learning: Experience in maintaining high-volume production lines is a plus, but not essential. A passion for troubleshooting and a methodical approach when working under pressure and to tight deadlines. Eagerness to learn and adapt as you tackle new and ever-evolving machinery and technologies. A proactive mindset - improving processes, not just fixing problems. Team spirit and strong communication skills for collaborating closely with colleagues across departments. This is what you'll get in return We offer a rewarding and supportive work environment designed to help you grow: Competitive salary: £38,000-£43,000 4 on, 4 off shift pattern for excellent work/life balance Access to state-of-the-art tools and equipment On-site support, guidance, and comprehensive training Opportunity to work alongside skilled engineers in a forward-thinking company Are you up to the challenge? Are you the Maintenance Engineer we're looking for? Please get in touch today with engineering specialist recruiter, Jacob Purcell Please apply with a CV and feel free to include a cover letter outlining why you're perfect for the role. We also have a referral scheme so if you know of someone who would be great for the role please get in touch. Please note, whilst we do our best to contact all candidates, due to the high number of applications we receive we cannot guarantee this for every role. If you have not heard anything from us within 7 days of applying - then unfortunately you have been unsuccessful. Please keep an eye on our website for more opportunities.
AI and Azure Data Architect up to £75,000 Fully Remote My client are a public sector organisation who work in the Healthcare industry. They ensure health and social care services provide people with safe, effective, compassionate, high-quality care. Responsibilities Designing and assuring solutions that leverage Artificial Intelligence, Machine Learning, and the Microsoft Azure Data Platform Act as a technical steward for the client's AI and data platform capabilities Design and deliver AI and data solutions using Microsoft Azure services (e.g. Synapse, Data Lake, Databricks, Fabric, Machine Learning, Cognitive Services) Develop and assure roadmaps Translate complex design concepts into clear messaging for senior stakeholders etc Experience Microsoft Azure Data Platform, including services such as Synapse Analytics, Data Lake, Databricks, Azure ML, Cognitive Services, and Power BI Expertise in AI/ML solution architecture, including MLOps, model lifecycle management, and integration of AI into business workflows. Knowledge of modern data engineering practices (data pipelines, streaming, event-driven architectures, APIs). Experience in cloud-native architectures, microservices, and integration with SaaS applications Skilled in relevant programming and scripting languages (e.g., Python, SQL, R, Spark) Other beneficial knowledge would be: Knowledge of healthcare data standards and interoperability frameworks (e.g., FHIR, HL7) Experience with AI ethics, explainable AI (XAI), and model risk management. Familiarity with TOGAF or other architectural frameworks. Salary They offer a salary package up to £75,000, with an excellent benefits package that includes - NHS Pension Employee 14% plus the employees contribution on top £553 Work from Home allowance per year on top of salary Access to a Blue Light discount card with significant high-street discounts Expenses allowance for home office furniture Flexible working options Location This client has an office in London and Newcastle, however they're offering remote working with the expectation of travelling to either office once every 1-3 months. How to Apply Please apply asap with your CV to be considered for this position. You can also get in touch with me on . Pearson Carter is the Global Leader in IT Recruitment with specialist roles across the globe -
Apr 03, 2026
Full time
AI and Azure Data Architect up to £75,000 Fully Remote My client are a public sector organisation who work in the Healthcare industry. They ensure health and social care services provide people with safe, effective, compassionate, high-quality care. Responsibilities Designing and assuring solutions that leverage Artificial Intelligence, Machine Learning, and the Microsoft Azure Data Platform Act as a technical steward for the client's AI and data platform capabilities Design and deliver AI and data solutions using Microsoft Azure services (e.g. Synapse, Data Lake, Databricks, Fabric, Machine Learning, Cognitive Services) Develop and assure roadmaps Translate complex design concepts into clear messaging for senior stakeholders etc Experience Microsoft Azure Data Platform, including services such as Synapse Analytics, Data Lake, Databricks, Azure ML, Cognitive Services, and Power BI Expertise in AI/ML solution architecture, including MLOps, model lifecycle management, and integration of AI into business workflows. Knowledge of modern data engineering practices (data pipelines, streaming, event-driven architectures, APIs). Experience in cloud-native architectures, microservices, and integration with SaaS applications Skilled in relevant programming and scripting languages (e.g., Python, SQL, R, Spark) Other beneficial knowledge would be: Knowledge of healthcare data standards and interoperability frameworks (e.g., FHIR, HL7) Experience with AI ethics, explainable AI (XAI), and model risk management. Familiarity with TOGAF or other architectural frameworks. Salary They offer a salary package up to £75,000, with an excellent benefits package that includes - NHS Pension Employee 14% plus the employees contribution on top £553 Work from Home allowance per year on top of salary Access to a Blue Light discount card with significant high-street discounts Expenses allowance for home office furniture Flexible working options Location This client has an office in London and Newcastle, however they're offering remote working with the expectation of travelling to either office once every 1-3 months. How to Apply Please apply asap with your CV to be considered for this position. You can also get in touch with me on . Pearson Carter is the Global Leader in IT Recruitment with specialist roles across the globe -
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Apr 03, 2026
Full time
AI Engineer - Agentic AI (Training & Enablement) Who we are:We deliver powerful data and AI solutions that minimize operational costs, strengthen resilience against risk, and uncover revenue opportunities. Clients can retain expert teams to drive lasting adoption while futureproofing their workforce with exceptional talent. Since 2016, more than 3,000 data & AI specialists have been created by removing systemic barriers to the tech industry. Incredible minds from all backgrounds are trained to become part of a diverse team of experts. Work spans a broad range of industries, including financial services, insurance, asset management, pharmaceuticals, energy and natural resources, retail, healthcare, manufacturing, and mobility. As a preferred partner of today's leading technology providers - such as Databricks, Snowflake and Collibra - delivery As an AI Engineer (Agentic AI) within our AI Engineering Training & Enablement capability, you will play a hands on role in developing, testing, and evolving agentic AI systems while contributing to the development and delivery of high quality technical training. This is a learning focused engineering role, combining practical AI engineering with the ability to contribute and deliver training labs, exercises, and technical artefacts that underpin our training offer. You will act as a technical contributor and subject matter specialist, supporting trainers, learners, and-where appropriate-commercial or client facing teams by demonstrating the real world credibility of our AI engineering practices. Key Responsibilities Agentic AI Engineering & Practical Enablement Design, build, and maintain diverse AI systems, ranging from classical machine learning pipelines to advanced agentic AI architectures (tool using agents, RAG, orchestration). Develop production ready reference implementations that demonstrate best practices in software engineering, including testing, version control, and CI/CD for AI applications. Create and maintain robust engineering environments, including containerised setups and cloud infrastructure, to support technical enablement and experimentation. Act as a subject matter expert on the full AI lifecycle, providing technical guidance on data preparation, model training, MLOps, and deployment strategies. Experiment with new agentic patterns, tools, and frameworks and translate learnings into practical training artefacts. Training Delivery & Learner Support Lead technical sessions and workshops covering the full spectrum of AI engineering, from foundational Python and statistics to deep learning and Generative AI. Mentor junior engineers and consultants, helping them debug complex issues across data pipelines, infrastructure configuration, and model development. Continuously refine technical artefacts and exercises to ensure they reflect current industry standards and realistic enterprise challenges. Engineering Standards, Evaluation & Responsible AI Embed evaluation practices into agentic AI builds, including benchmarking, regression testing, and failure mode inspection. Contribute to responsible AI patterns within training content (data boundaries, permissions, guardrails). Ensure training artefacts reflect modern engineering standards and realistic enterprise constraints. Collaboration & Capability Development Work closely with trainers, architects, and senior engineers to align training content with best practice. Contribute to internal policy and standards documentation, knowledge sharing, and centres of excellence. Support onboarding and enablement of new trainers or engineers. Lead internal demos, showcases, or events highlighting agentic AI capability. Key Requirements Experience 3-6+ years in software engineering, Data Science, or Machine Learning Engineering roles, with a track record of building and deploying production systems. Technical Skills Core Engineering: Expert proficiency in Python (writing modular, production quality code) and strong working knowledge of SQL and database design. Maths & Statistics: Strong grasp of probability theory, statistical analysis, and linear algebra, with the ability to apply these concepts to real world data problems. Classical Machine Learning: Deep practical knowledge of standard ML algorithms (regression, classification, clustering, ensemble methods) and libraries (scikit learn, pandas). Infrastructure & Containers: Hands on experience with containerisation (Docker) and orchestration (Kubernetes), including how to package and run AI applications in these environments. MLOps & Deployment: Proficiency with MLOps frameworks (specifically MLflow) for experiment tracking and model lifecycle management, as well as experience deploying models as APIs (FastAPI/Flask). Generative AI: Experience building applications with LLMs, including prompt engineering, RAG architectures, and vector databases. Rapid Prototyping: Proficiency in guiding AI coding assistants to rapidly generate and refine functional web interfaces (e.g., Streamlit, React) for agentic demos. Cloud Platforms: Proven experience developing and deploying AI solutions on Azure (specifically Azure ML and Cognitive Services) or equivalent AWS/GCP services. DevOps: Familiarity with modern DevOps practices, including Git based workflows and CI/CD pipelines (e.g., GitHub Actions, Azure DevOps). Agile Product Delivery: Familiarity with agile product delivery and requirements engineering practices. Ways of Working A genuine passion for upskilling others, with a patient and collaborative approach to code reviews and technical problem solving. Exceptional ability to explain complex engineering and mathematical concepts to audiences with varying levels of technical expertise. Collaborative approach suited to a team oriented, learning focused environment. Self directed and proactive - the ability to navigate uncertainty and ambiguity with business and technical stakeholders to co create value.
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Price is a key factor influencing traveler's path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travelers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with giving the customer a simple, clear, accurate, transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared and presented to the customer that meet the travelers' expectations in locally relevant ways and adhere to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain with the goal of powering all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross-functional teams to deliver high-quality, full-stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands-on experience designing, building, and operating large-scale, distributed systems and services. Strong proficiency in system design, API design, and data modeling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end-to-end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data-driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimizing their impact at scale. On-Call Requirement This position requires the employee to be on-call outside of regular working hours. On-call duties encompass: Responding to emergencies or incidents as they arise Providing prompt support and solutions Participating in on-call rotations, including nights, weekends, and bank holidays Remaining reachable by phone or other communication methods at all times during on-call periods Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
Apr 03, 2026
Full time
Expedia Group brands power global travel for everyone, everywhere. We design cutting-edge tech to make travel smoother and more memorable, and we create groundbreaking solutions for our partners. Our diverse, vibrant, and welcoming community is essential in driving our success. Why Join Us? To shape the future of travel, people must come first. Guided by our Values and Leadership Agreements, we foster an open culture where everyone belongs, differences are celebrated and know that when one of us wins, we all win. We provide a full benefits package, including exciting travel perks, generous time-off, parental leave, a flexible work model (with some pretty cool offices), and career development resources, all to fuel our employees' passion for travel and ensure a rewarding career journey. We're building a more open world. Join us. Introduction to team Our Technology Team partners with teams across Expedia Group to create innovative products, services, and tools to deliver high-quality experiences for travelers, partners, and our employees. A singular technology platform powered by data and machine learning provides secure, differentiated, and personalized experiences that drive loyalty and traveler satisfaction. Price is a key factor influencing traveler's path to driving a choice leading to a purchase. In a world of infinite paths to purchase, travelers make multiple searches and find the 'best trip' and 'best deal'. The Offers Domain team is tasked with giving the customer a simple, clear, accurate, transparent pricing throughout their shopping and booking journeys. We do this by putting the customer first, creating capabilities that can be shared and presented to the customer that meet the travelers' expectations in locally relevant ways and adhere to regulatory norms. This is a great opportunity for you to play a pivotal role in shaping our technical domain with the goal of powering all Expedia Group's brands and product lines. In this role, you will: Design and implement scalable, robust, and maintainable systems and services across multiple domains, with a focus on reliability and performance. Develop complex application logic, APIs, and data models aligned to business goals and best engineering practices. Collaborate with cross-functional teams to deliver high-quality, full-stack solutions that integrate seamlessly across platforms. Lead technical efforts in system architecture, code reviews, and establishing engineering standards. Safely integrate and operate AI/ML-enabled solutions that improve outcomes, ensuring responsible use of advanced technologies. Proactively identify, diagnose, and resolve production issues, continuously improving system health and operational excellence. Minimum Qualifications: Bachelor's degree in Computer Science or a related technical field; or equivalent related professional experience. 5+ years of relevant professional experience. Strong software engineering fundamentals-data structures, and algorithms in Java or Kotlin, with familiarity across the JVM stack, system design, and distributed systems-and can understand highly complex systems, design moderately complex services, and guide integrations across teams within the business unit. Building and operating high performance, highly available backend services in public/hybrid cloud environments (Kotlin strongly preferred). Demonstrated experience leading engineering efforts for services operating at scale in a cloud environment (preferably AWS), including deploying and operating services using platform tooling and/or infrastructure as code. Hands-on experience designing, building, and operating large-scale, distributed systems and services. Strong proficiency in system design, API design, and data modeling. Experience using modern AI assisted development tools (for example, IDE assistants, chat based coding agents, or AI augmented code review/testing tools) as part of your daily workflow, beyond simple code autocompletion, and are comfortable working in an AI integrated environment. Preferred Qualifications: Experience with container technologies (such as Kubernetes) and CI/CD tools or processes. Expertise in architecting end-to-end solutions integrating multiple systems or domains. Strong focus on operational excellence, including monitoring, automation, and incident response. Data-driven approach to problem solving and technical decision making, including leveraging AI/ML insights where appropriate. Deep knowledge of safely integrating AI/ML features into production systems and optimizing their impact at scale. On-Call Requirement This position requires the employee to be on-call outside of regular working hours. On-call duties encompass: Responding to emergencies or incidents as they arise Providing prompt support and solutions Participating in on-call rotations, including nights, weekends, and bank holidays Remaining reachable by phone or other communication methods at all times during on-call periods Accommodation requests If you need assistance with any part of the application or recruiting process due to a disability, or other physical or mental health conditions, please reach out to our Recruiting Accommodations Team through the Accommodation Request. We are proud to be named as a Best Place to Work on Glassdoor in 2024 and be recognized for award-winning culture by organizations like Forbes, TIME, Disability:IN, and others. Expedia Group's family of brands includes: Brand Expedia Expedia Partner Solutions, Vrbo , trivago , Orbitz , Travelocity , Hotwire , Wotif , ebookers , CheapTickets , Expedia Group Media Solutions, Expedia Local Expert and Expedia Cruises . 2024 Expedia, Inc. All rights reserved. Trademarks and logos are the property of their respective owners. CST: -50 Employment opportunities and job offers at Expedia Group will always come from Expedia Group's Talent Acquisition and hiring teams. Never provide sensitive, personal information to someone unless you're confident who the recipient is. Expedia Group does not extend job offers via email or any other messaging tools to individuals with whom we have not made prior contact. Our email domain is The official website to find and apply for job openings at Expedia Group is Expedia is committed to creating an inclusive work environment with a diverse workforce. All qualified applicants will receive consideration for employment without regard to race, religion, gender, sexual orientation, national origin, disability or age.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role: As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved processes. Key Responsibilities: Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases- to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at . click apply for full job details
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients-at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role: As an Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved processes. Key Responsibilities: Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Why you? Basic Qualifications: Bachelor's degree in computer science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 2+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 1+ years with a Master's or PhD. Expertise in Python, including ML/data science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications: Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $136,125 to $226,875. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. We get ahead of disease by preventing and treating it with innovation in specialty medicines and vaccines. We focus on four therapeutic areas: respiratory, immunology and inflammation; oncology; HIV; and infectious diseases- to impact health at scale. People and patients around the world count on the medicines and vaccines we make, so we're committed to creating an environment where our people can thrive and focus on what matters most. Our culture of being ambitious for patients, accountable for impact and doing the right thing is the foundation for how, together, we deliver for patients, shareholders and our people. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important notice to Employment businesses/ Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. Please note that if you are a US Licensed Healthcare Professional or Healthcare Professional as defined by the laws of the state issuing your license, GSK may be required to capture and report expenses GSK incurs, on your behalf, in the event you are afforded an interview for employment. This capture of applicable transfers of value is necessary to ensure GSK's compliance to all federal and state US Transparency requirements. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at . click apply for full job details
About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. Key Tasks Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. Analysis of in-house wet lab experiments with the purpose to generate proprietary methods and data for our models. Multi-omic bioinformatics pipeline development. Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology. Expected Growth In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc Nextflow or Flyte workflow to massively process your data. In 3 months you have integrated your research into our AI models. In 6 months your pipelines run in automated production feeding daily AI model training. You're co-designing experiments with AI/ML engineers and lab scientists and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data as well as top tier publications and / or patents. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal Experience Commercial experience generating insights from biological data (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq). Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs, including but not limited to NextFlow, Seqera. Strong working knowledge with cloud computing environments, including but not limited to AWS. Familiar with data wrangling, engineering, analysis, and visualisation libraries using Python or Julia, Spark, Hadoop, NoSQL. Application of artificial intelligence approaches and experience applying them to a biological context. Top tier publications. Patent experience. Location Based onsite in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight Prima Mente is a place where great people get to tackle great challenges together. We're innately curious, fundamentally hands on and passionate about excellence. Together we build an environment where outstanding communication, scientific rigour and creative innovation come together to effect impact at pace. Come build the world's frontier AI biology lab with us. We arrange our lives so we can work in person as much as possible.
Apr 03, 2026
Full time
About Prima Mente Prima Mente is a frontier biology AI lab. We generate our own data, build general purpose biological foundation models, and translate discoveries into research and clinical outcomes. Our first goal is to tackle the brain: to deeply understand it, protect it from neurological disease, and enhance it in health. Our team of AI researchers, experimentalists, clinicians, and operators is based in London, San Francisco and Dubai. Role focus - Multi-omics Clearly articulate and interrogate meaningful biological hypotheses for marker and target discovery related to neurological diseases. Key Tasks Feature engineering and dataset preparation for downstream machine learning as well as foundational AI training and application. Analysis of in-house wet lab experiments with the purpose to generate proprietary methods and data for our models. Multi-omic bioinformatics pipeline development. Develop and manage specific external research collaborations with academic and industrial partners specific to AD biology. Expected Growth In 1 month you will be responsible for your own analysis and experiments on our cloud compute environment, involving creating an ad hoc Nextflow or Flyte workflow to massively process your data. In 3 months you have integrated your research into our AI models. In 6 months your pipelines run in automated production feeding daily AI model training. You're co-designing experiments with AI/ML engineers and lab scientists and you're leading technical execution on external collaborations with industrial and/or academic partners. Who You Are You want to redefine what's possible at the frontier of AI and biology. You have experience uncovering novel biology from multi-omic multi-modal data as well as top tier publications and / or patents. We don't expect you to check every box. Strong applicants often have depth in some of these and interest in growing into others. Ideal Experience Commercial experience generating insights from biological data (genomics, epigenetics, transcriptomics, proteomics, ATAC-Seq). Operational software engineering skills: the ability to write high-quality code to be the backbone of our software stack. Experience with end-to-end tools used to process multi-omic data from raw data all the way to analytical outputs, including but not limited to NextFlow, Seqera. Strong working knowledge with cloud computing environments, including but not limited to AWS. Familiar with data wrangling, engineering, analysis, and visualisation libraries using Python or Julia, Spark, Hadoop, NoSQL. Application of artificial intelligence approaches and experience applying them to a biological context. Top tier publications. Patent experience. Location Based onsite in San Francisco, US or London, UK. We support O1 (US) and GTV (UK) visa applications. Culture Insight Prima Mente is a place where great people get to tackle great challenges together. We're innately curious, fundamentally hands on and passionate about excellence. Together we build an environment where outstanding communication, scientific rigour and creative innovation come together to effect impact at pace. Come build the world's frontier AI biology lab with us. We arrange our lives so we can work in person as much as possible.
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Apr 03, 2026
Full time
You will need to login before you can apply for a job. Site Name: Cambridge 300 Technology Square, London The Stanley Building, USA - Pennsylvania - Upper Providence Posted Date: Mar 6 2026 At GSK, we unite science, technology and talent to get ahead of disease together. Our ambition is to positively impact the health of 2.5 billion people over the next decade. We are building a future where state of the art software, AI, and machine learning enable us to discover new therapies and personalized medicines that drive better outcomes for patients at reduced cost and with fewer side effects. The Applied AI team sits at the intersection of business need and technical capability within the AI/ML department. We directly support business units with AI/ML related challenges, acting as ambassadors for responsible AI across the organization. This role is your opportunity to work at the frontier of applied machine learning in one of the world's leading biopharma companies, translating cutting edge AI research into real scientific and business impact. About the Role As a Senior Applied AI Engineer, you will be embedded within cross functional teams to deliver practical, high impact AI/ML solutions aligned with GSK's R&D and business priorities. You will partner closely with scientists, product teams, and domain experts to design, build, and deploy machine learning models and AI powered tools that accelerate drug discovery, improve decision making, and enable responsible use of AI across the enterprise. This role is hands on and consultative in equal measure. You will evaluate use case feasibility, prototype solutions rapidly, architect model integrations, and transfer knowledge so that partner teams can operate independently. You will also contribute to the development of reusable patterns, baseline models, and tested pipelines for common AI/ML tasks within GSK's approved. Key Responsibilities Advisory & Solution Design Provide tailored guidance to business units on AI/ML use cases, feasibility, model selection, and deployment options, particularly in scientific domains without active AI/ML engineering efforts. Co design prototypes and proof of concepts (PoCs) with product and domain teams to validate ideas quickly and de risk larger investments. Translate complex stakeholder requirements into well scoped technical solutions with clear success criteria and handover plans. Model Development & Deployment Build, train, evaluate, and iterate on ML models for real world scientific and business problems-including but not limited to NLP/LLM applications, knowledge graphs, causal inference, computer vision, and predictive modeling. Package trained models into production ready services (APIs, containerized deployments) using GSK's cloud infrastructure (GCP/AWS/Azure). Develop and maintain agentic AI systems, multi agent architectures, and LLM based tools where appropriate. Share reusable patterns, baseline models, and tested pipelines for common AI/ML tasks. Embed privacy, ethics, and regulatory considerations into every engagement from the outset. Knowledge Transfer & Enablement Run workshops, seminars, and hands on training sessions to increase AI literacy across the organization. Embed within business/research units for time limited engagements (typically 6 8 weeks) to accelerate delivery and transfer skills. Communicate relevant issues, requests, and opportunities from business units back to AI/ML product leads. Basic Qualifications Bachelor's degree in Computer Science, Machine Learning, Computational Biology, Bioinformatics, Statistics, Engineering, or a related quantitative discipline; OR equivalent professional experience as a software/ML engineer. 3+ years of professional experience developing and deploying machine learning models (with a Bachelor's); 2+ years with a Master's or PhD. Expertise in Python, including ML/Data Science libraries (PyTorch, TensorFlow, JAX, scikit learn, pandas, numpy). Experience with cloud platforms (GCP, AWS, or Azure) and containerization (Docker, Kubernetes). Strong understanding of ML fundamentals: supervised/unsupervised learning, deep learning, model evaluation, feature engineering, and experiment tracking. Experience working in cross functional teams and communicating technical concepts to non technical stakeholders. Experience working in healthcare, pharma, or biological domains. Preferred Qualifications Experience in pharma, biotech, or life sciences-particularly in drug discovery, genomics, clinical data, or biological data analysis. Hands on experience building LLM based applications, agentic AI systems, RAG pipelines, or multi agent architectures (e.g., LangChain, LangGraph, AutoGen). Experience with knowledge graph construction, causal inference, or large perturbation models. Familiarity with single cell RNA seq, spatial transcriptomics, CRISPR assay data, or other high dimensional biological datasets. Experience with MLOps practices: CI/CD for ML, model monitoring, experiment tracking (MLflow, Weights & Biases), and reproducible research workflows. Contributions to open source ML/AI projects or peer reviewed publications in applied ML. Background or demonstrated interest in responsible AI, AI ethics, or model governance. Strong software engineering practices: version control (Git/GitHub), code review, testing, and documentation. Experience evaluating and integrating third party AI/ML vendor tools and platforms. Salary & Benefits If you are based in Cambridge, MA; Waltham, MA; Rockville, MD; or San Francisco, CA, the annual base salary for new hires in this position ranges $160,050 to $266,750. The US salary ranges take into account a number of factors including work location within the US market, the candidate's skills, experience, education level and the market rate for the role. In addition, this position offers an annual bonus and eligibility to participate in our share based long term incentive program which is dependent on the level of the role. Available benefits include health care and other insurance benefits (for employee and family), retirement benefits, paid holidays, vacation, and paid caregiver/parental and medical leave. If salary ranges are not displayed in the job posting for a specific country, the relevant compensation will be discussed during the recruitment process. Please visit GSK US Benefits Summary to learn more about the comprehensive benefits program GSK offers US employees. Why GSK? Uniting science, technology and talent to get ahead of disease together. GSK is a global biopharma company with a purpose to unite science, technology and talent to get ahead of disease together. We aim to positively impact the health of 2.5 billion people by the end of the decade, as a successful, growing company where people can thrive. GSK is committed to creating an environment where our people can thrive and focus on what matters most. Equal Opportunity Employer GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law. Important Notice to Employment Businesses/Agencies GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. In the absence of such written authorization, any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site. GSK strives to accommodate applicants with disabilities and provide equal access. If you require an accommodation or other assistance to apply for a job at GSK, please contact the appropriate Recruitment Staff by emailing us at . GSK may be required to capture and report expenses incurred on your behalf in the event you are afforded an interview for employment. For more information, please visit the Centers for Medicare and Medicaid Services (CMS) website at
Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We're building a platform that uses gamification and social mechanics to make learning fun. With over 1.7 million monthly active users and $5M in annual recurring revenue, we're already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $22M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring an experienced/staff-level Product Engineer (AI-focused) to build and scale the core intelligence behind Gizmo. Reporting to the CEO and Co-Founder, you'll work across our TypeScript codebase to ship AI-powered features used daily by thousands of students, including study material generation, quizzes, automated marking and content ingestion. This is not an ML research role. It is a hands on product engineering position focused on designing and improving production AI systems with real user impact. If you want to build AI that sits at the heart of a product and see your work make a tangible difference at scale, this role offers genuine impact. What You Will Be Doing Building AI-Powered Product Features You will operate as a full product engineer, owning AI features end to end: Design and ship AI-driven user facing features in our TypeScript stack Take ownership of AI features from idea through to production and iteration Collaborate closely with design and product to solve real learning problems with end to end AI solutions Write clean, maintainable, production ready code Contribute to architectural decisions across backend and AI systems Improve the user experience around AI outputs, including feedback loops and refinement flows Owning and Improving Production AI Systems You will take responsibility for AI systems that are already live and used daily. These include: Study material content generation Quiz question generation Automated marking and feedback Structured content ingestion pipelines You will: Optimise production AI pipelines Design and iterate on prompts, including agentic prompt engineering and multi step workflows Build structured model pipelines rather than simple single call integrations Integrate model improvements directly into our TypeScript backend Create novel AI powered systems to solve new product challenges Prototype and productionise new model driven capabilities Designing Evaluation and Quality Frameworks You will: Define what great looks like across different AI use cases Design internal evaluation frameworks Develop clear metrics for quality, correctness and usefulness Evaluate multi step and agentic workflows for robustness Run structured experiments to drive systematic improvement Build internal tooling to support iteration and experimentation Ensuring Reliability at Scale You will: Monitor model behaviour and system health Handle API rate limits and third party outages Improve resilience, retries and fallback logic Design robust model calling infrastructure Ensure AI features remain stable and performant under scale Qualifications 8+ years of software engineering experience Strong expertise in TypeScript is preferred; however, we would also consider candidates with strong JavaScript experience Degree in Machine Learning, Artificial Intelligence, or a related quantitative discipline; alternatively, demonstrable hands on experience evaluating AI models and prompts in a production environment Experience building and maintaining production systems Experience shipping user facing product features Experience designing structured or agentic prompt workflows Ability to define and implement evaluation metrics for AI driven features Clear communicator who can collaborate with technical and non technical stakeholders Strong product instincts and a focus on impact Nice to Have Previous start up or founder experience Experience building internal tooling for experimentation and evaluation Benefits Highly competitive salary You'll own a piece of what you're building - equity included Hybrid and flexible working model with 4 days in our Shoreditch, London office Private health insurance Enhanced parental leave The opportunity to become one of the earliest employees in one of the UK's fastest growing startups
Apr 03, 2026
Full time
Gizmo is an AI startup on a mission to make learning so easy that anyone can learn anything. We're building a platform that uses gamification and social mechanics to make learning fun. With over 1.7 million monthly active users and $5M in annual recurring revenue, we're already one of the fastest-growing startups in the UK. Backed by leading investors, we recently raised $22M in Series A funding to accelerate our vision of helping 1 billion people learn. The Role We're hiring an experienced/staff-level Product Engineer (AI-focused) to build and scale the core intelligence behind Gizmo. Reporting to the CEO and Co-Founder, you'll work across our TypeScript codebase to ship AI-powered features used daily by thousands of students, including study material generation, quizzes, automated marking and content ingestion. This is not an ML research role. It is a hands on product engineering position focused on designing and improving production AI systems with real user impact. If you want to build AI that sits at the heart of a product and see your work make a tangible difference at scale, this role offers genuine impact. What You Will Be Doing Building AI-Powered Product Features You will operate as a full product engineer, owning AI features end to end: Design and ship AI-driven user facing features in our TypeScript stack Take ownership of AI features from idea through to production and iteration Collaborate closely with design and product to solve real learning problems with end to end AI solutions Write clean, maintainable, production ready code Contribute to architectural decisions across backend and AI systems Improve the user experience around AI outputs, including feedback loops and refinement flows Owning and Improving Production AI Systems You will take responsibility for AI systems that are already live and used daily. These include: Study material content generation Quiz question generation Automated marking and feedback Structured content ingestion pipelines You will: Optimise production AI pipelines Design and iterate on prompts, including agentic prompt engineering and multi step workflows Build structured model pipelines rather than simple single call integrations Integrate model improvements directly into our TypeScript backend Create novel AI powered systems to solve new product challenges Prototype and productionise new model driven capabilities Designing Evaluation and Quality Frameworks You will: Define what great looks like across different AI use cases Design internal evaluation frameworks Develop clear metrics for quality, correctness and usefulness Evaluate multi step and agentic workflows for robustness Run structured experiments to drive systematic improvement Build internal tooling to support iteration and experimentation Ensuring Reliability at Scale You will: Monitor model behaviour and system health Handle API rate limits and third party outages Improve resilience, retries and fallback logic Design robust model calling infrastructure Ensure AI features remain stable and performant under scale Qualifications 8+ years of software engineering experience Strong expertise in TypeScript is preferred; however, we would also consider candidates with strong JavaScript experience Degree in Machine Learning, Artificial Intelligence, or a related quantitative discipline; alternatively, demonstrable hands on experience evaluating AI models and prompts in a production environment Experience building and maintaining production systems Experience shipping user facing product features Experience designing structured or agentic prompt workflows Ability to define and implement evaluation metrics for AI driven features Clear communicator who can collaborate with technical and non technical stakeholders Strong product instincts and a focus on impact Nice to Have Previous start up or founder experience Experience building internal tooling for experimentation and evaluation Benefits Highly competitive salary You'll own a piece of what you're building - equity included Hybrid and flexible working model with 4 days in our Shoreditch, London office Private health insurance Enhanced parental leave The opportunity to become one of the earliest employees in one of the UK's fastest growing startups
